Fault Detection Of Single And Interval Valued Data Using Statistical Process Monitoring Techniques

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Fault Detection of Single and Interval Valued Data Using Statistical Process Monitoring Techniques

Author : Mohamed N. Nounou
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)

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Book Synopsis Fault Detection of Single and Interval Valued Data Using Statistical Process Monitoring Techniques by : Mohamed N. Nounou

Download or read book Fault Detection of Single and Interval Valued Data Using Statistical Process Monitoring Techniques written by Mohamed N. Nounou and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principal component analysis (PCA) is a linear data analysis technique widely used for fault detection and isolation, data modeling, and noise filtration. PCA may be combined with statistical hypothesis testing methods, such as the generalized likelihood ratio (GLR) technique in order to detect faults. GLR functions by using the concept of maximum likelihood estimation (MLE) in order to maximize the detection rate for a fixed false alarm rate. The benchmark Tennessee Eastman Process (TEP) is used to examine the performance of the different techniques, and the results show that for processes that experience both shifts in the mean and/or variance, the best performance is achieved by independently monitoring the mean and variance using two separate GLR charts, rather than simultaneously monitoring them using a single chart. Moreover, single-valued data can be aggregated into interval form in order to provide a more robust model with improved fault detection performance using PCA and GLR. The TEP example is used once more in order to demonstrate the effectiveness of using of interval-valued data over single-valued data.

Fault Detection, Diagnosis and Prognosis

Author : Fausto Pedro García Márquez
Publisher : BoD – Books on Demand
ISBN 13 : 1789842131
Total Pages : 177 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Fault Detection, Diagnosis and Prognosis by : Fausto Pedro García Márquez

Download or read book Fault Detection, Diagnosis and Prognosis written by Fausto Pedro García Márquez and published by BoD – Books on Demand. This book was released on 2020-02-05 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the main concepts, state of the art, advances, and case studies of fault detection, diagnosis, and prognosis. This topic is a critical variable in industry to reach and maintain competitiveness. Therefore, proper management of the corrective, predictive, and preventive politics in any industry is required. This book complements other subdisciplines such as economics, finance, marketing, decision and risk analysis, engineering, etc. The book presents real case studies in multiple disciplines. It considers the main topics using prognostic and subdiscipline techniques. It is essential to link these topics with the areas of finance, scheduling, resources, downtime, etc. to increase productivity, profitability, maintainability, reliability, safety, and availability, and reduce costs and downtime. Advances in mathematics, modeling, computational techniques, dynamic analysis, etc. are employed analytically. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support the analysis of prognostic problems with defined constraints and requirements. The book is intended for graduate students and professionals in industrial engineering, business administration, industrial organization, operations management, applied microeconomics, and the decisions sciences, either studying maintenance or needing to solve large, specific, and complex maintenance management problems as part of their jobs. The work will also be of interest to researches from academia.

Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

Author : Majdi Mansouri
Publisher : Elsevier
ISBN 13 : 0128191651
Total Pages : 322 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data-Driven and Model-Based Methods for Fault Detection and Diagnosis by : Majdi Mansouri

Download or read book Data-Driven and Model-Based Methods for Fault Detection and Diagnosis written by Majdi Mansouri and published by Elsevier. This book was released on 2020-02-05 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely. Outlines latent variable based hypothesis testing fault detection techniques to enhance monitoring processes represented by linear or nonlinear input-space models (such as PCA) or input-output models (such as PLS) Explains multiscale latent variable based hypothesis testing fault detection techniques using multiscale representation to help deal with uncertainty in the data and minimize its effect on fault detection Includes interval PCA (IPCA) and interval PLS (IPLS) fault detection methods to enhance the quality of fault detection Provides model-based detection techniques for the improvement of monitoring processes using state estimation-based fault detection approaches Demonstrates the effectiveness of the proposed strategies by conducting simulation and experimental studies on synthetic data

A fault detection method for FADS system based on interval-valued neutrosophic sets, belief rule base, and D-S evidence reasoning

Author : Qianlei Jia
Publisher : Infinite Study
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4./5 ( download)

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Book Synopsis A fault detection method for FADS system based on interval-valued neutrosophic sets, belief rule base, and D-S evidence reasoning by : Qianlei Jia

Download or read book A fault detection method for FADS system based on interval-valued neutrosophic sets, belief rule base, and D-S evidence reasoning written by Qianlei Jia and published by Infinite Study. This book was released on with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault detection, with the characteristics of strong uncertainty and randomness, has always been one of the research hotspots in the field of aerospace. Considering that devices will inevitably encounter various unknown interference in the process of use, which greatly limits the performance of many traditional fault detection methods. Therefore, the main aim of this paper is to address this problem from the perspective of uncertainty and randomness of measurement signal. In information engineering, interval-valued neutrosophic sets (IVNSs), belief rule base (BRB), and Dempster-Shafer (D-S) evidence reasoning are always characterized by the strong ability in revealing uncertainty, but each has its drawbacks. As a result, the three theories are firstly combined in this paper to form a powerful fault detection algorithm. Besides, a series of innovations are proposed to improve the method, including a new score function based on p-norm for IVNSs and a new approach of calculating the similarity between IVNSs, which are both proved by authoritative prerequisites. To illustrate the effectiveness of the proposed method, flush air data sensing (FADS), a technologically advanced airborne sensor, is adopted in this paper. The aerodynamic model of FADS is analyzed in detail using knowledge of aerodynamics under subsonic and supersonic conditions, meanwhile, the high-precision model is established based on the aerodynamic database obtained from CFD software.

Data-Driven Fault Detection and Reasoning for Industrial Monitoring

Author : Jing Wang
Publisher : Springer Nature
ISBN 13 : 9811680442
Total Pages : 277 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Data-Driven Fault Detection and Reasoning for Industrial Monitoring by : Jing Wang

Download or read book Data-Driven Fault Detection and Reasoning for Industrial Monitoring written by Jing Wang and published by Springer Nature. This book was released on 2022-01-03 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications. This is an open access book.

Proceedings of the 4th International Conference on Electrical Engineering and Control Applications

Author : Sofiane Bououden
Publisher : Springer Nature
ISBN 13 : 9811564035
Total Pages : 1257 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Proceedings of the 4th International Conference on Electrical Engineering and Control Applications by : Sofiane Bououden

Download or read book Proceedings of the 4th International Conference on Electrical Engineering and Control Applications written by Sofiane Bououden and published by Springer Nature. This book was released on 2020-09-29 with total page 1257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers presented during the 4th International Conference on Electrical Engineering and Control Applications. It covers new control system models, troubleshooting tips and complex system requirements, such as increased speed, precision and remote capabilities. Additionally, the papers discuss not only the engineering aspects of signal processing and various practical issues in the broad field of information transmission, but also novel technologies for communication networks and modern antenna design. This book is intended for researchers, engineers and advanced postgraduate students in the fields of control and electrical engineering, computer science and signal processing, as well as mechanical and chemical engineering.

Fault Detection Via Shewhart and Ewma Charts

Author : Mohd Hafiz Mohd Saad
Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (953 download)

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Book Synopsis Fault Detection Via Shewhart and Ewma Charts by : Mohd Hafiz Mohd Saad

Download or read book Fault Detection Via Shewhart and Ewma Charts written by Mohd Hafiz Mohd Saad and published by . This book was released on 2006 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Process Control is a technique that concerned with monitoring process capability and process stability. Statistical Control is the condition describing a process from which all special causes have been removed, evidenced on a control chart by the absence of points beyond the control limits and by the absence of non-random patterns or trends within the control limits. Principle Component Analysis, PCA is one of the multivariate analysis techniques to improve the traditional SPC chart by determined the cross correlation between process variables and quality variables. Despite improve Statistical Process Control, SPC chart and determined the correlation between process and quality variables, comparison of the performance of SPC chart should be taken to provide the best chart to detect the fault in the process. For achieve the objective, fIrst step is to identify process and quality variables. The faults can be detected when after Normal Operating Condition data were create to develop control limit of improved SPC chart. The correlation between process and quality variables have to determine to certify the variables are correlated. From the results shows that EWMA chart can detect 77.5% of known faults occurs on reflux stream and Shewhart chart has 87.5%. The result shows the performance between of two charts which give the Shewhart chart has the best performance in detected the faults.

Fault Detection and Diagnosis Via Improved Statistical Process Control

Author : Noorlisa Harun
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659177651
Total Pages : 172 pages
Book Rating : 4.1/5 (776 download)

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Book Synopsis Fault Detection and Diagnosis Via Improved Statistical Process Control by : Noorlisa Harun

Download or read book Fault Detection and Diagnosis Via Improved Statistical Process Control written by Noorlisa Harun and published by LAP Lambert Academic Publishing. This book was released on 2012-07 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Statistical Process Control (MSPC) technique has been widely used for fault detection and diagnosis (FDD). Currently, contribution plots are used as basic tools for fault diagnosis in MSPC approaches. This plot does not exactly diagnose the fault, it just provides greater insight into possible causes and thereby narrow down the search. Hence, the cause of the faults cannot be found in a straightforward manner. Therefore, this study is conducted to introduce a new approach for detecting and diagnosing fault via correlation technique. Multivariate analysis technique i.e Principal Component Analysis, PCA and Partial Correlation Analysis, PCorrA are utilized to determine the correlation coefficient between quality variables and process variables. A precut multicomponent distillation column that has been installed with controllers is used as the study unit operation. Improved SPC method is implemented to detect and diagnose various kinds of faults, which occur in the process. Individual charting technique such as Shewhart, Exponential Weight Moving Average (EWMA) and Moving Average and Moving Range (MAMR) charts are used to facilitate the FDD.

Data-Driven Design of Fault Diagnosis Systems

Author : Adel Haghani Abandan Sari
Publisher : Springer Science & Business
ISBN 13 : 3658058072
Total Pages : 149 pages
Book Rating : 4.6/5 (58 download)

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Book Synopsis Data-Driven Design of Fault Diagnosis Systems by : Adel Haghani Abandan Sari

Download or read book Data-Driven Design of Fault Diagnosis Systems written by Adel Haghani Abandan Sari and published by Springer Science & Business. This book was released on 2014-04-22 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, different methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements.

Hybrid Method for Process Fault Detection and Diagnosis

Author : Md. Raihan Mallick
Publisher :
ISBN 13 :
Total Pages : 178 pages
Book Rating : 4.:/5 (995 download)

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Book Synopsis Hybrid Method for Process Fault Detection and Diagnosis by : Md. Raihan Mallick

Download or read book Hybrid Method for Process Fault Detection and Diagnosis written by Md. Raihan Mallick and published by . This book was released on 2013 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data-Driven Fault Detection for Industrial Processes

Author : Zhiwen Chen
Publisher : Springer Vieweg
ISBN 13 : 9783658167554
Total Pages : 0 pages
Book Rating : 4.1/5 (675 download)

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Book Synopsis Data-Driven Fault Detection for Industrial Processes by : Zhiwen Chen

Download or read book Data-Driven Fault Detection for Industrial Processes written by Zhiwen Chen and published by Springer Vieweg. This book was released on 2017-01-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability and safety in industrial processes, fault detection has become an important issue. Although the model-based fault detection theory has been well studied in the past decades, its applications are limited to large-scale industrial processes because it is difficult to build accurate models. Furthermore, motivated by the limitations of existing data-driven FD methods, novel canonical correlation analysis (CCA) and projection-based methods are proposed from the perspectives of process input and output data, less engineering effort and wide application scope. For performance evaluation of FD methods, a new index is also developed.

Monitoring, Fault Detection and Estimation in Processes Using Multivariate Statistical Techniques

Author : Diego García Álvarez
Publisher :
ISBN 13 :
Total Pages : 209 pages
Book Rating : 4.:/5 (858 download)

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Book Synopsis Monitoring, Fault Detection and Estimation in Processes Using Multivariate Statistical Techniques by : Diego García Álvarez

Download or read book Monitoring, Fault Detection and Estimation in Processes Using Multivariate Statistical Techniques written by Diego García Álvarez and published by . This book was released on 2013 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

Author : Chris Aldrich
Publisher :
ISBN 13 : 9781447151869
Total Pages : 396 pages
Book Rating : 4.1/5 (518 download)

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Book Synopsis Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods by : Chris Aldrich

Download or read book Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods written by Chris Aldrich and published by . This book was released on 2013-07-31 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fault Detection, Supervision and Safety of Technical Processes 2003 (SAFEPROCESS 2003)

Author : Marcel Staroswiecki
Publisher : Elsevier
ISBN 13 : 9780080440118
Total Pages : 1210 pages
Book Rating : 4.4/5 (41 download)

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Book Synopsis Fault Detection, Supervision and Safety of Technical Processes 2003 (SAFEPROCESS 2003) by : Marcel Staroswiecki

Download or read book Fault Detection, Supervision and Safety of Technical Processes 2003 (SAFEPROCESS 2003) written by Marcel Staroswiecki and published by Elsevier. This book was released on 2004-02-27 with total page 1210 pages. Available in PDF, EPUB and Kindle. Book excerpt: A three-volume work bringing together papers presented at 'SAFEPROCESS 2003', including four plenary papers on statistical, physical-model-based and logical-model-based approaches to fault detection and diagnosis, as well as 178 regular papers.

Utilizing Classical Scaling for Fault Identification Based on Continuous-based Process

Author : Mira Syahirah Abd Wahit
Publisher :
ISBN 13 :
Total Pages : 30 pages
Book Rating : 4.:/5 (953 download)

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Book Synopsis Utilizing Classical Scaling for Fault Identification Based on Continuous-based Process by : Mira Syahirah Abd Wahit

Download or read book Utilizing Classical Scaling for Fault Identification Based on Continuous-based Process written by Mira Syahirah Abd Wahit and published by . This book was released on 2013 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study is about to develop a new method on Fault Identification using Classical Scaling. Process Monitoring is from Statistical Process Control (SPC), the statistical tool which used of statistical methods and to control of a process, by repeated sampling measurements or to predict results. It also help to determine whether the process is working properly or not. This Statistical Process Control (SPC) will forms charts with data (control charts) to shown the result. This study will develop the normal Multivariate Statistical Process Monitoring (MSPM). The data will be run as the normal Multivariate Statistical Process Monitoring (MSPM). So from the technique that used in this study such as Principal Component Analysis, Statistical Process Control and Multivariate Statistical Process Monitoring (MSPM), this study will be develop which the most faster technique that will be detecting the fault in the system used.

Statistical Process Monitoring for Non-IID Processes

Author : Baocheng Sun
Publisher :
ISBN 13 :
Total Pages : 326 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Statistical Process Monitoring for Non-IID Processes by : Baocheng Sun

Download or read book Statistical Process Monitoring for Non-IID Processes written by Baocheng Sun and published by . This book was released on 2000 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Quality Assurance Methods for Engineers

Author : Stephen B. Vardeman
Publisher :
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Statistical Quality Assurance Methods for Engineers by : Stephen B. Vardeman

Download or read book Statistical Quality Assurance Methods for Engineers written by Stephen B. Vardeman and published by . This book was released on 1999 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Tools You Need To Be A Successful Engineer As you read through this new text, you'll discover the importance of Statistical Quality Control (SQC) tools in engineering process monitoring and improvement. You'll learn what SQC methods can and cannot do, and why these are valuable additions to your engineering tool kit. And instead of overwhelming you with unnecessary details, the authors make the implementation of statistical tools "user-friendly." The rich set of examples and problems integrated throughout this book will help you gain a better understanding of where and how to apply SQC tools. Real projects, cases and data sets show you clearly how SQC tools are used in practice. Topics are covered in the right amount of detail to give you insight into their relative importance in modern quality assurance and the ability to immediately use them. This approach provides the mix of tools you'll need to succeed in your engineering career. Key Features of the Text * Provides a coherent presentation of the role of statistics in quality assurance. * Places special attention on making sure that while the technical details are absolutely correct, they do not overwhelm the reader. * Presents the material in realistic contexts, with examples and problems that are based on real-world projects, cases and data sets. * The implementation of statistical tools is user-friendly. * The statistical treatment emphasizes graphics and estimation (and de-emphasizes hypothesis testing).