Inter Turn Short Circuit Fault Detection In Permanent Magnet Synchronous Motors Through Machine Parameter Identification

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Inter-turn Short Circuit Fault Detection in Permanent Magnet Synchronous Motors Through Machine Parameter Identification

Author : Kudra H Baruti
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (138 download)

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Book Synopsis Inter-turn Short Circuit Fault Detection in Permanent Magnet Synchronous Motors Through Machine Parameter Identification by : Kudra H Baruti

Download or read book Inter-turn Short Circuit Fault Detection in Permanent Magnet Synchronous Motors Through Machine Parameter Identification written by Kudra H Baruti and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: AC motors, specifically Permanent Magnet Synchronous Motors (PMSM) have been gainingpopularity in industrial applications due to their high efficiency, high power density and hightorque generation capabilities. Apart from industrial applications, the market share of these motorshas seen significantly increasing use in emerging technologies such as Electric vehicles (EVs),Hybrid Electric Vehicles (HEVs) as traction motors, and use in electric ships, and electricairplanes. To ensure safety and reliability of operation in safety critical applications, continuoushealth condition monitoring and fault diagnosis of these motors is essential. A robust and accuratefault diagnosis and condition monitoring reduces downtime and unplanned catastrophic failures,shutdowns, and maintenance, which saves both time, money, and labor. Through the availabledrive sensors such as current and voltage sensors, current and voltage information can be acquiredand used to diagnose different faults in the motor. This dissertation presents condition monitoringof stator Inter-Turn Short Circuit (ITSC) faults in PMSM motors.ITSC faults make up more than 40% of all PMSM electrical faults, mainly caused by extrememechanical, thermal, and electrical stresses. Other factors such as high dv/dt and chemicalsaccelerate insulation material aging and result in ITSC faults. ITSC fault causes high circulatingcurrents to be induced in the stator of the motors, and if not properly managed, can result in localoverheating which leads to further winding degradation and melting, which can result in completeshutdown of the machines operation. Thus, to avoid unexpected machine shutdowns, ITSC faultmust be monitored, diagnosed, and managed.This dissertation employs continuous monitoring of machines electrical parameters such as thestator resistance (Rs) and both d-axis and q-axis inductances (Ld and Lq) to detect any changeswhich may be a result of ITSC faults. Upon detecting changes in parameters, ITSC fault isdiagnosed by isolating it from other closely similar faults such as eccentricity faults.The techniques employed in this dissertation eliminates the use of extra sensors in the drive, andonly uses current sensors to acquire feedbacks, and uses voltages inside the micro-controller toestimate different parameters for diagnosis purposes.

Diagnosis of Inter Turn Short Circuit Fault in Permanent Magnet Synchronous Machines

Author : Yuan Qi
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (123 download)

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Book Synopsis Diagnosis of Inter Turn Short Circuit Fault in Permanent Magnet Synchronous Machines by : Yuan Qi

Download or read book Diagnosis of Inter Turn Short Circuit Fault in Permanent Magnet Synchronous Machines written by Yuan Qi and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Inter turn short circuit (ITSC) fault is one of the most common faults in permanent magnet synchronous machines (PMSM). ITSC fault has limited impact on system performance in early stages, but it can turn into several failures without proper treatment. Therefore, it is important to characterize ITSC fault of PMSM and develop reliable fault diagnosis algorithms. In the past few years, many studies proposed different kinds of ITSC fault detection algorithms, such as motor current signature analysis, parameter identifications, real-time estimators and searching coils. Recently, the study about ITSC fault mitigation algorithms has drawn more attentions due to its potential of extending the fault machine lifetime. Instead of immediate replacement, the fault machine can operate with proper control techniques, which can prevent the deterioration of existing ITSC fault and reduce the risk of system total failure. This technique is essential to mission and cost critical systems, which are unable to replace the fault machine immediately. By applying fault mitigation algorithms, the fault machine can still operate until the next available maintenance for replacement. However, the precise and reliable mitigation algorithm requires a good understanding of ITSC fault condition, particularly the number of shorted turns and short circuit current. The number of shorted turns is the key parameter used in modeling the ITSC fault machine. The short circuit current is the main reason that causes damage on insulation material. A reliable mitigation method should be able to limit the short circuit current in a safety range. However, it is impossible to measure the short circuit current in real application. Therefore, it requires short circuit current estimation method in order to provide a feedback for evaluating the performance of ITSC fault mitigation algorithms. In this study, the characterization of ITSC fault is analyzed in detail at first. Following that, a parameter identification method is provided to estimate the number of shorted turns at standstill condition. At last, a short circuit current estimation algorithm is developed based on back electromotive force (back-EMF) estimation.

Parameter Identification and Fault Detection for Reliable Control of Permanent Magnet Motors

Author : Dusan Vukosav Progovac
Publisher :
ISBN 13 :
Total Pages : 120 pages
Book Rating : 4.:/5 (917 download)

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Book Synopsis Parameter Identification and Fault Detection for Reliable Control of Permanent Magnet Motors by : Dusan Vukosav Progovac

Download or read book Parameter Identification and Fault Detection for Reliable Control of Permanent Magnet Motors written by Dusan Vukosav Progovac and published by . This book was released on 2014 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this dissertation is to develop new fault detection, identification, estimation and control algorithms that will be used to detect winding stator fault, identify the motor parameters and optimally control machine during faulty condition. Quality or proposed algorithms for Fault detection, parameter identification and control under faulty condition will validated through analytical study (Cramer-Rao bound) and simulation. Simulation will be performed for three most applied control schemes: Proportional-Integral-Derivative (PID), Direct Torque Control (DTC) and Field Oriented Control (FOC) for Permanent Magnet Machines. New detection schemes forfault detection, isolation and machine parameter identification are presented and analyzed. Different control schemes as PID, DTC, FOC for Control of PM machines have different control loops and therefore it is probable that fault detection and isolation will have different sensitivity. It is very probable that one of these control schemes (PID, DTC or FOC) are more convenient for fault detection and isolation which this dissertation will analyze through computer simulation and, if laboratory condition exist, also running a physical models.

Advanced Structures, Fault Diagnosis and Tolerant Control of Permanent Magnet Synchronous Motors

Author :
Publisher :
ISBN 13 : 9783725811694
Total Pages : 0 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Advanced Structures, Fault Diagnosis and Tolerant Control of Permanent Magnet Synchronous Motors by :

Download or read book Advanced Structures, Fault Diagnosis and Tolerant Control of Permanent Magnet Synchronous Motors written by and published by . This book was released on 2024-05-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Analysis and Diagnosis of Faults in the PMSM Drivetrains for Series Hybrid Electrical Vehicles (SHEVs)

Author : Seyed Saeid Moosavi Anchehpoli
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (981 download)

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Book Synopsis Analysis and Diagnosis of Faults in the PMSM Drivetrains for Series Hybrid Electrical Vehicles (SHEVs) by : Seyed Saeid Moosavi Anchehpoli

Download or read book Analysis and Diagnosis of Faults in the PMSM Drivetrains for Series Hybrid Electrical Vehicles (SHEVs) written by Seyed Saeid Moosavi Anchehpoli and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interest in the electric vehicles rose recently due both to environmental questions and to energetic dependence of the contemporary society. Accordingly, it is necessary to study and implement in these vehicle fault diagnosis systems which enable them to be more reliable and safe enhancing its sustainability. In this work after a review on problem of faults in the drivetrain of series hybrid electric vehicles (SHEV), a deep investigation on fault diagnosis of AC-DC power converter and permanent magnet synchronous motor (PMSM) have been done as two important parts of traction chains in SHEVs. In other major part of this work, four types of faults (stator winding inter turn short circuit, demagnetization, eccentricity ant bearing faults) of a PMSM have been studied. Inter turn short circuit of stator winding of PMSM in different speeds and loads has been considered to identify fault feature in all operation aspects, as it is expected by electric vehicle application. Experimental results aiming short circuits, bearing and eccentricity fault detection has been presented. Analytical and finite element method (FEM) aiming demagnetization fault investigation has been developed. The AC-DC converter switches are generally exposed to the possibility of outbreak open phase faults because of troubles of the switching devices. This work proposes a robust and efficient identification method for data acquisition selection aiming fault analysis and detection. Two new patterns under AC-DC converter failure are identified and presented. To achieve this goal, four different level of switches fault are considered on the basis of both simulation and experimental results. For accuracy needs of the identified pattern for SHEV application, several parameters have been considered namely: capacitor size changes, load and speed variations. On the basis of the developed fault sensitive models above, an ANN based fault detection, diagnosis strategy and the related algorithm have been developed to show the way of using the identified patterns in the supervision and the diagnosis of the PMSM drivetrain of SHEVs. ANN method have been used to develop three diagnosis based models for : the vector controlled PMSM under inter turn short circuit, the AC/DC power converter under an open phase fault and also the PMSM under unbalanced voltage caused by open phase DC/AC inverter. These models allow supervising the main components of the PMSM drivetrains used to propel the SHEV. The ANN advantages of ability to include a lot of data mad possible to classify the faults in terms of their type and severity. This allows estimating the performance degree of that drivetrains during faulty conditions through the parameter state of health (SOH). The latter can be used in a global control strategy of PMSM control in degraded mode in which the control is auto-adjusted when a defect occurs on the system. The goal is to ensure a continuity of service of the SHEV in faulty conditions to improve its reliability.

Stator Winding Fault Detection for a PMSM Using Fuzzy Logic Classifier and Neural Network Model Identification

Author : Jabid Eduardo Mendez Quiroga
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (231 download)

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Book Synopsis Stator Winding Fault Detection for a PMSM Using Fuzzy Logic Classifier and Neural Network Model Identification by : Jabid Eduardo Mendez Quiroga

Download or read book Stator Winding Fault Detection for a PMSM Using Fuzzy Logic Classifier and Neural Network Model Identification written by Jabid Eduardo Mendez Quiroga and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ABSTRACT: A negative sequence analysis coupled with fuzzy logic and neural network based approaches are applied to stator winding short circuit fault detection in a permanent magnet synchronous motors (PMSM).

Electrical and Magnetic Faults Diagnosis in Permanent Magnet Synchronous Motors

Author : Julio César Urresty Betancourt
Publisher :
ISBN 13 :
Total Pages : 117 pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Electrical and Magnetic Faults Diagnosis in Permanent Magnet Synchronous Motors by : Julio César Urresty Betancourt

Download or read book Electrical and Magnetic Faults Diagnosis in Permanent Magnet Synchronous Motors written by Julio César Urresty Betancourt and published by . This book was released on 2013 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Permanent magnet synchronous motors (PMSMs) are an alternative in critical applications where high-speed operation, compactness and high efficiency are required. In these applications it is highly desired to dispose of an on-line, reliable and cost-effective fault diagnosis method. Fault prediction and diagnosis allows increasing electric machines performance and raising their lifespan, thus reducing maintenance costs, while ensuring optimum reliability, safe operation and timely maintenance. Consequently this thesis is dedicated to the diagnosis of magnetic and electrical faults in PMSMs. As a first step, the behavior of a healthy machine is studied, and with this aim a new 2D finite element method (FEM) modelbased system for analyzing surface-mounted PSMSs with skewed rotor magnets is proposed. It is based on generating a geometric equivalent non-skewed permanent magnet distribution which accounts for the skewed distribution of the practical rotor, thus avoiding 3D geometries and greatly reducing the computational burden of the problem. To diagnose demagnetization faults, this thesis proposes an on-line methodology based on monitoring the zero-sequence voltage component (ZSVC). Attributes of the proposed method include simplicity, very low computational burden and high sensibility when compared with the well known stator currents analysis method. A simple expression of the ZSVC is deduced, which can be used as a fault indicator parameter. Furthermore, mechanical effects arising from demagnetization faults are studied. These effects are analyzed by means of FEM simulations and experimental tests based on direct measurements of the shaft trajectory through self-mixing interferometry. For that purpose two perpendicular laser diodes are used to measure displacements in both X and Y axes. Laser measurements proved that demagnetization faults may induce a quantifiable deviation of the rotor trajectory. In the case of electrical faults, this thesis studies the effects of resistive unbalance and stator winding inter-turn short-circuits in PMSMs and compares two methods for detecting and discriminating both faults. These methods are based on monitoring and analyzing the third harmonic component of the stator currents and the first harmonic of the ZSVC. Finally, the Vold-Kalman filtering order tracking algorithm is introduced and applied to extract selected harmonics related to magnetic and electrical faults when the machine operates under variable speed and different load levels. Furthermore, different fault indicators are proposed and their behavior is validated by means of experimental data. Both simulation and experimental results show the potential of the proposed methods to provide helpful and reliable data to carry out a simultaneous diagnosis of resistive unbalance and stator winding inter-turn faults.

Analysis, Modeling, and Detection of Inter-turn Short Circuits in Interior Permanent Magnet Synchronous Machines

Author : Pablo Eduardo Castro Palavicino
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)

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Book Synopsis Analysis, Modeling, and Detection of Inter-turn Short Circuits in Interior Permanent Magnet Synchronous Machines by : Pablo Eduardo Castro Palavicino

Download or read book Analysis, Modeling, and Detection of Inter-turn Short Circuits in Interior Permanent Magnet Synchronous Machines written by Pablo Eduardo Castro Palavicino and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inter-turn short circuits (ISC) could cause irreversible damage to electric machines. When two or more turns of a winding make contact, large amounts of current will flow through the newly created shorted path, which creates heat and propagates the failure to the other turns leading to a catastrophic failure. This research cover analysis, modeling, detection, and compensation of ISC in interior permanent magnet synchronous machines (IPMSM).The investigation begins with a parametric study with extensive finite element analysis (FEA) covering different aspects of the machine and its effect on an ISC. A dynamic model incorporating saturation was proposed to predict the failure path current when an ISC occurs. Moreover, the model is formed as a healthy IPMSM with disturbances directly related to an ISC. Thus, a current observer was proposed to estimate the current and the disturbances due to an ISC. The estimated disturbances are used to obtain a fault index current (FIC), which is an indicator of an ISC useful for detecting the number of shorted turns and the faulted phase. Finally, a modified version of flux nulling is evaluated as an option for fault mitigation and torque recovery when operating with 2-level voltage source inverter (VSI) limitations. In this investigation, FEA and experiments are conducted in an IPMSM prototype. The experimental results validate the dynamic models proposed for machines with saliency under ISC. The FIC is experimentally validated as a feasible signal for fast detection of ISC. The modified flux nulling strategy was proven to be successful in mitigating ISC from the faulted turns while recovering average torque.

Electric Machines

Author : Hamid A. Toliyat
Publisher : CRC Press
ISBN 13 : 1420006282
Total Pages : 272 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Electric Machines by : Hamid A. Toliyat

Download or read book Electric Machines written by Hamid A. Toliyat and published by CRC Press. This book was released on 2017-12-19 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: With countless electric motors being used in daily life, in everything from transportation and medical treatment to military operation and communication, unexpected failures can lead to the loss of valuable human life or a costly standstill in industry. To prevent this, it is important to precisely detect or continuously monitor the working condition of a motor. Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis reviews diagnosis technologies and provides an application guide for readers who want to research, develop, and implement a more effective fault diagnosis and condition monitoring scheme—thus improving safety and reliability in electric motor operation. It also supplies a solid foundation in the fundamentals of fault cause and effect. Combines Theoretical Analysis and Practical Application Written by experts in electrical engineering, the book approaches the fault diagnosis of electrical motors through the process of theoretical analysis and practical application. It begins by explaining how to analyze the fundamentals of machine failure using the winding functions method, the magnetic equivalent circuit method, and finite element analysis. It then examines how to implement fault diagnosis using techniques such as the motor current signature analysis (MCSA) method, frequency domain method, model-based techniques, and a pattern recognition scheme. Emphasizing the MCSA implementation method, the authors discuss robust signal processing techniques and the implementation of reference-frame-theory-based fault diagnosis for hybrid vehicles. Fault Modeling, Diagnosis, and Implementation in One Volume Based on years of research and development at the Electrical Machines & Power Electronics (EMPE) Laboratory at Texas A&M University, this book describes practical analysis and implementation strategies that readers can use in their work. It brings together, in one volume, the fundamentals of motor fault conditions, advanced fault modeling theory, fault diagnosis techniques, and low-cost DSP-based fault diagnosis implementation strategies.

Proceedings of 2020 Chinese Intelligent Systems Conference

Author : Yingmin Jia
Publisher : Springer Nature
ISBN 13 : 9811584583
Total Pages : 841 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Proceedings of 2020 Chinese Intelligent Systems Conference by : Yingmin Jia

Download or read book Proceedings of 2020 Chinese Intelligent Systems Conference written by Yingmin Jia and published by Springer Nature. This book was released on 2020-09-29 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on new theoretical results and techniques in the field of intelligent systems and control. It provides in-depth studies on a number of major topics such as Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.

The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering

Author : Weijiang Chen
Publisher : Springer Nature
ISBN 13 : 9813366095
Total Pages : 879 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering by : Weijiang Chen

Download or read book The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering written by Weijiang Chen and published by Springer Nature. This book was released on 2021-04-20 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the original, peer-reviewed research papers from the 9th Frontier Academic Forum of Electrical Engineering (FAFEE 2020), held in Xi’an, China, in August 2020. It gathers the latest research, innovations, and applications in the fields of Electrical Engineering. The topics it covers including electrical materials and equipment, electrical energy storage and device, power electronics and drives, new energy electric power system equipment, IntelliSense and intelligent equipment, biological electromagnetism and its applications, and insulation and discharge computation for power equipment. Given its scope, the book benefits all researchers, engineers, and graduate students who want to learn about cutting-edge advances in Electrical Engineering.

Fault Detection and Identification in Permanent Magnet Synchronous Machines

Author : Reemon Zaki Saleem Haddad
Publisher :
ISBN 13 : 9781369404142
Total Pages : 132 pages
Book Rating : 4.4/5 (41 download)

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Book Synopsis Fault Detection and Identification in Permanent Magnet Synchronous Machines by : Reemon Zaki Saleem Haddad

Download or read book Fault Detection and Identification in Permanent Magnet Synchronous Machines written by Reemon Zaki Saleem Haddad and published by . This book was released on 2016 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Model-based Control of Permanent Magnet Synchronous Motors with Inter-turn Winding Short Circuit

Author : Gabriel Forstner
Publisher :
ISBN 13 : 9783844085013
Total Pages : pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Model-based Control of Permanent Magnet Synchronous Motors with Inter-turn Winding Short Circuit by : Gabriel Forstner

Download or read book Model-based Control of Permanent Magnet Synchronous Motors with Inter-turn Winding Short Circuit written by Gabriel Forstner and published by . This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Encyclopedia of Automotive Engineering

Author :
Publisher : John Wiley & Sons
ISBN 13 : 0470974028
Total Pages : 3888 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Encyclopedia of Automotive Engineering by :

Download or read book Encyclopedia of Automotive Engineering written by and published by John Wiley & Sons. This book was released on 2015-03-23 with total page 3888 pages. Available in PDF, EPUB and Kindle. Book excerpt: Erstmals eine umfassende und einheitliche Wissensbasis und Grundlage für weiterführende Studien und Forschung im Bereich der Automobiltechnik. Die Encyclopedia of Automotive Engineering ist die erste umfassende und einheitliche Wissensbasis dieses Fachgebiets und legt den Grundstein für weitere Studien und tiefgreifende Forschung. Weitreichende Querverweise und Suchfunktionen ermöglichen erstmals den zentralen Zugriff auf Detailinformationen zu bewährten Branchenstandards und -verfahren. Zusammenhängende Konzepte und Techniken aus Spezialbereichen lassen sich so einfacher verstehen. Neben traditionellen Themen des Fachgebiets beschäftigt sich diese Enzyklopädie auch mit "grünen" Technologien, dem Übergang von der Mechanik zur Elektronik und den Möglichkeiten zur Herstellung sicherer, effizienterer Fahrzeuge unter weltweit unterschiedlichen wirtschaftlichen Rahmenbedingungen. Das Referenzwerk behandelt neun Hauptbereiche: (1) Motoren: Grundlagen; (2) Motoren: Design; (3) Hybrid- und Elektroantriebe; (4) Getriebe- und Antriebssysteme; (5) Chassis-Systeme; (6) Elektrische und elektronische Systeme; (7) Karosserie-Design; (8) Materialien und Fertigung; (9) Telematik. - Zuverlässige Darstellung einer Vielzahl von Spezialthemen aus dem Bereich der Automobiltechnik. - Zugängliches Nachschlagewerk für Jungingenieure und Studenten, die die technologischen Grundlagen besser verstehen und ihre Kenntnisse erweitern möchten. - Wertvolle Verweise auf Detailinformationen und Forschungsergebnisse aus der technischen Literatur. - Entwickelt in Zusammenarbeit mit der FISITA, der Dachorganisation nationaler Automobil-Ingenieur-Verbände aus 37 Ländern und Vertretung von über 185.000 Ingenieuren aus der Branche. - Erhältlich als stets aktuelle Online-Ressource mit umfassenden Suchfunktionen oder als Print-Ausgabe in sechs Bänden mit über 4.000 Seiten. Ein wichtiges Nachschlagewerk für Bibliotheken und Informationszentren in der Industrie, bei Forschungs- und Schulungseinrichtungen, Fachgesellschaften, Regierungsbehörden und allen Ingenieurstudiengängen. Richtet sich an Fachingenieure und Techniker aus der Industrie, Studenten höherer Semester und Studienabsolventen, Forscher, Dozenten und Ausbilder, Branchenanalysen und Forscher.

Fault Detection of Permanent Magnet Synchronous Motor (PMSM) by Means of Stator Currents Analysis

Author : Javier Alveiro Rosero García
Publisher :
ISBN 13 :
Total Pages : 180 pages
Book Rating : 4.:/5 (84 download)

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Book Synopsis Fault Detection of Permanent Magnet Synchronous Motor (PMSM) by Means of Stator Currents Analysis by : Javier Alveiro Rosero García

Download or read book Fault Detection of Permanent Magnet Synchronous Motor (PMSM) by Means of Stator Currents Analysis written by Javier Alveiro Rosero García and published by . This book was released on 2007 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of 2021 Chinese Intelligent Systems Conference

Author : Yingmin Jia
Publisher : Springer Nature
ISBN 13 : 9811663203
Total Pages : 866 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of 2021 Chinese Intelligent Systems Conference by : Yingmin Jia

Download or read book Proceedings of 2021 Chinese Intelligent Systems Conference written by Yingmin Jia and published by Springer Nature. This book was released on 2021-10-06 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 17th Chinese Intelligent Systems Conference, held in Fuzhou, China, on Oct 16-17, 2021. It focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth study on a number of major topics such as Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles and so on. The book is particularly suited for readers who are interested in learning intelligent system and control and artificial intelligence. The book can benefit researchers, engineers, and graduate students.

Stray Magnetic Flux Based Condition Monitoring Techniques for Permanent Magnet Synchronous Motors

Author : Vigneshwaran Gurusamy
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (141 download)

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Book Synopsis Stray Magnetic Flux Based Condition Monitoring Techniques for Permanent Magnet Synchronous Motors by : Vigneshwaran Gurusamy

Download or read book Stray Magnetic Flux Based Condition Monitoring Techniques for Permanent Magnet Synchronous Motors written by Vigneshwaran Gurusamy and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Permanent Magnet Synchronous Motors (PMSM) are widely used in various applications from home appliances to electric vehicles due to its advantages like high efficiency, high power density etc. The market share of this type of motor is increasing significantly in the recent decade. In order to ensure their reliable operation in safety critical system, condition monitoring tools are essential. The effective fault diagnosis and condition monitoring system reduces downtime and unplanned maintenance which saves both time and money. Though several motor attributes like current, vibration, temperature etc. can be used for diagnosis of health condition of an electric motor, stray magnetic flux around the motor housing has rich information about the health status of PM motors due to the use of high energy magnets. This dissertation presents condition monitoring techniques which are developed to address three major issues in PMSM. Stator fault is the most common electrical fault which begins as an inter-turn failure. It is essential to identify this failure at its initial stage to prevent the catastrophic damage caused by stator fault. It is shown that the fundamental component of stray magnetic flux may result in fault negative error under certain operating conditions. To overcome this problem, third harmonic component is analyzed comprehensively and proposed as a reliable fault metric throughout the entire range of operation to detect and locate the fault. Secondly, the common mechanical fault in electrical motors, bearing damage is studied. It is shown that the magnetic field of PM motors exhibit asymmetry due to the manufacturing imperfections of magnet. A stray magnetic flux-based bearing fault detection method is proposed by leveraging this asymmetry. The proposed method is analyzed extensively in both simulations and experiments. A comparative study between motor current based detection and the proposed method is also performed. In the last part of the research, a stray magnetic flux based the temperature estimation of permanent magnet is proposed. The stray magnetic flux around the motor can be correlated to the magnet temperature. However, it also is affected by the permeability variation of iron core and magnetic field generated by the stator current. A compensation co-efficient is proposed to compensate the mentioned effects and obtain the permanent magnet component of stray magnetic flux from the measured data. Then the proposed scheme is adopted to estimate the temperature of magnets online under dynamic operating conditions.