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Fault Diagnosis Of Analog Circuits And Systems Via Neural Networks
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Book Synopsis Fault Diagnosis of Analog Circuits and Systems Via Neural Networks by : Shyam Sunder Somayajula
Download or read book Fault Diagnosis of Analog Circuits and Systems Via Neural Networks written by Shyam Sunder Somayajula and published by . This book was released on 1993 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Prithviraj Kabisatpathy Publisher :Springer Science & Business Media ISBN 13 :0387257438 Total Pages :183 pages Book Rating :4.3/5 (872 download)
Book Synopsis Fault Diagnosis of Analog Integrated Circuits by : Prithviraj Kabisatpathy
Download or read book Fault Diagnosis of Analog Integrated Circuits written by Prithviraj Kabisatpathy and published by Springer Science & Business Media. This book was released on 2006-01-13 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enables the reader to test an analog circuit that is implemented either in bipolar or MOS technology. Examines the testing and fault diagnosis of analog and analog part of mixed signal circuits. Covers the testing and fault diagnosis of both bipolar and Metal Oxide Semiconductor (MOS) circuits and introduces . Also contains problems that can be used as quiz or homework.
Book Synopsis On Theapplication of Neural Networks to Fault Diagnosis of Electronic AnaloG Circuits by : Marcantonio Catelani
Download or read book On Theapplication of Neural Networks to Fault Diagnosis of Electronic AnaloG Circuits written by Marcantonio Catelani and published by . This book was released on 1996 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Testing and Diagnosis of Analog Circuits and Systems by : Ruey-wen Liu
Download or read book Testing and Diagnosis of Analog Circuits and Systems written by Ruey-wen Liu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: IS THE TOPIC ANALOG TESTING AND DIAGNOSIS TIMELY? Yes, indeed it is. Testing and Diagnosis is an important topic and fulfills a vital need for the electronic industry. The testing and diagnosis of digital electronic circuits has been successfuIly developed to the point that it can be automated. Unfortu nately, its development for analog electronic circuits is still in its Stone Age. The engineer's intuition is still the most powerful tool used in the industry! There are two reasons for this. One is that there has been no pressing need from the industry. Analog circuits are usuaIly small in size. Sometimes, the engineer's experience and intuition are sufficient to fulfill the need. The other reason is that there are no breakthrough results from academic re search to provide the industry with critical ideas to develop tools. This is not because of a lack of effort. Both academic and industrial research groups have made major efforts to look into this problem. Unfortunately, the prob lem for analog circuits is fundamentally different from and much more diffi cult than its counterpart for digital circuits. These efforts have led to some important findings, but are still not at the point of being practicaIly useful. However, these situations are now changing. The current trend for the design of VLSI chips is to use analog/digital hybrid circuits, instead of digital circuits from the past. Therefore, even Ix x Preface though the analog circuit may be small, the total circuit under testing is large.
Book Synopsis Evaluation of Application of Neural Networks to Fault Detection on Time-domain Data from Analog Circuits by : F.G.O. Dineen
Download or read book Evaluation of Application of Neural Networks to Fault Detection on Time-domain Data from Analog Circuits written by F.G.O. Dineen and published by . This book was released on 1990 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Fault Diagnosis Algorithm for Nonlinear Analog Circuits and Systems by : Ming-cheng Hsieh
Download or read book A Fault Diagnosis Algorithm for Nonlinear Analog Circuits and Systems written by Ming-cheng Hsieh and published by . This book was released on 1980 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Framework for the Testing and Fault Diagnosis of Analog and Mixed Signal Circuits Using Artificial Neural Networks by : Robert Spina
Download or read book A Framework for the Testing and Fault Diagnosis of Analog and Mixed Signal Circuits Using Artificial Neural Networks written by Robert Spina and published by . This book was released on 1996 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Neural-Based Analog IC Parametric Fault Diagnostic System with Discriminant Simulation Sampling by : A. Wu
Download or read book A Neural-Based Analog IC Parametric Fault Diagnostic System with Discriminant Simulation Sampling written by A. Wu and published by . This book was released on 1998 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article presents experimental results that show feedforward neural networks are well suited for analog IC parametric fault diagnosis. It describes a discriminant sampling method for analog IC parametric faults simulation for a neural-based diagnostic system to reduce the computational overhead of the neural network training phase. Analog circuit fault simulation has not achieved the same degree of success as its digital counterpart owing to the difficulty in modeling the more complex analog behavior. Analog circuit fault simulation does rely on time-consuming circuit simulations on a large number of sampled points subject to various process deviations to emulate the actual faulty conditions. The proposed algorithm uses an effective importance sampling strategy to capture the parametric acceptance boundaries of the circuit under test. It makes use of circuit simulations effectively to relate each circuit performance to the process disturbances and to establish response functions that are accurate at the transition boundaries of the acceptance region. With the proposed approach, simulation samples can be generated for fault simulations mostly at the boundaries of the acceptance region to institute the discriminant functions for parametric faults testing using a neural network approach. The proposed algorithm is more computationally effective when compared to the Monte Carlo method.
Download or read book Analog Circuits written by Yuping Wu and published by BoD – Books on Demand. This book was released on 2013-01-09 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: The invariable motif for analog design is to explore the new circuit topologies, architectures and CAD technologies to overcome the design challenges coming from the new applications and new fabrication technologies. In this book, a new architecture for a SAR ADC is proposed to eliminate the process mismatches and minimize the errors. A collection of DG-MOSFET based analog/RFICs present the excellent performance; the automated system for a passive filter circuits design is presented with the local searching engaging; interval analysis is used to solve some problems for linear and nonlinear analog circuits and a symbolic method is proposed to solve the testability problem.
Book Synopsis Fault Diagnosis in Analog Circuits Via Symbolic Analysis Techniques by : Fawzi M Al-Naima
Download or read book Fault Diagnosis in Analog Circuits Via Symbolic Analysis Techniques written by Fawzi M Al-Naima and published by . This book was released on 2013 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault Diagnosis in Analog Circuits via Symbolic Analysis Techniques.
Book Synopsis Selected Papers on Analog Fault Diagnosis by : Ruey-Wen Liu
Download or read book Selected Papers on Analog Fault Diagnosis written by Ruey-Wen Liu and published by . This book was released on 1987 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Electronic Design Automation for IC System Design, Verification, and Testing by : Luciano Lavagno
Download or read book Electronic Design Automation for IC System Design, Verification, and Testing written by Luciano Lavagno and published by CRC Press. This book was released on 2017-12-19 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first of two volumes in the Electronic Design Automation for Integrated Circuits Handbook, Second Edition, Electronic Design Automation for IC System Design, Verification, and Testing thoroughly examines system-level design, microarchitectural design, logic verification, and testing. Chapters contributed by leading experts authoritatively discuss processor modeling and design tools, using performance metrics to select microprocessor cores for integrated circuit (IC) designs, design and verification languages, digital simulation, hardware acceleration and emulation, and much more. New to This Edition: Major updates appearing in the initial phases of the design flow, where the level of abstraction keeps rising to support more functionality with lower non-recurring engineering (NRE) costs Significant revisions reflected in the final phases of the design flow, where the complexity due to smaller and smaller geometries is compounded by the slow progress of shorter wavelength lithography New coverage of cutting-edge applications and approaches realized in the decade since publication of the previous edition—these are illustrated by new chapters on high-level synthesis, system-on-chip (SoC) block-based design, and back-annotating system-level models Offering improved depth and modernity, Electronic Design Automation for IC System Design, Verification, and Testing provides a valuable, state-of-the-art reference for electronic design automation (EDA) students, researchers, and professionals.
Book Synopsis Proceedings of ELM-2016 by : Jiuwen Cao
Download or read book Proceedings of ELM-2016 written by Jiuwen Cao and published by Springer. This book was released on 2017-05-25 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains some selected papers from the International Conference on Extreme Learning Machine 2016, which was held in Singapore, December 13-15, 2016. This conference will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. Extreme Learning Machines (ELM) aims to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM represents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large‐scale computing and artificial intelligence. This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.
Book Synopsis Fault Diagnosis of Electronic Circuits Using Artificial Neural Networks by : Abdullah Al-Jumah
Download or read book Fault Diagnosis of Electronic Circuits Using Artificial Neural Networks written by Abdullah Al-Jumah and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults by : Nabamita Banerjee Roy
Download or read book Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults written by Nabamita Banerjee Roy and published by CRC Press. This book was released on 2021-07-21 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores methods of fault identification through programming and simulation in MATLAB Examines signal processing tools and their applications with examples Provides knowledge of artificial neural networks and their applications with illustrations Uses PNN and BPNN to identify the different types of faults and obtain their corresponding locations Discusses the programming of signal processing using Wavelet Transform and S-Transform
Download or read book Fault Diagnosis written by Józef Korbicz and published by Springer Science & Business Media. This book was released on 2004 with total page 970 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive work presents the status and likely development of fault diagnosis, an emerging discipline of modern control engineering. It covers fundamentals of model-based fault diagnosis in a wide context, providing a good introduction to the theoretical foundation and many basic approaches of fault detection.
Book Synopsis Analog VLSI Neural Networks by : Yoshiyasu Takefuji
Download or read book Analog VLSI Neural Networks written by Yoshiyasu Takefuji and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together in one place important contributions and state-of-the-art research in the rapidly advancing area of analog VLSI neural networks. The book serves as an excellent reference, providing insights into some of the most important issues in analog VLSI neural networks research efforts.