An Algorithm for Fault Isolation in Electronic Networks PDF Download

Author: Kiritkumar Chunilal Kothari
Publisher:
ISBN:
Category : Electric fault location
Languages : en
Pages : 240

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Book Description

Author: MIchael Mesak Vartanian
Publisher:
ISBN:
Category :
Languages : en
Pages : 328

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Book Description

Author: Sayyed Hamidreza Mousavi
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659323843
Category :
Languages : en
Pages : 88

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Book Description
Process history based approaches for fault diagnosis has been widely used recently. Principal Component Analysis (PCA) is one of these approaches, which is a linear approach; however most of the processes are nonlinear. Hence nonlinear extensions of the PCA have been developed. Nonlinear Principal Component Analysis (NLPCA) based on the neural networks is a common method which is used for process monitoring and fault diagnosis. NLPCA based neural networks are implemented using different methods, in this book we apply Auto-Associative Neural Networks (AANN) for implementing NLPCA. This work is aimed towards the development of an algorithm used in conjunction with an Auto Associative Neural Network (AANN) to help locate and reconstruct faulty sensor inputs in control systems. Also an algorithm is developed for locating the source of the process fault.

Author: Fangming Ye
Publisher: Springer
ISBN: 3319402102
Category : Technology & Engineering
Languages : en
Pages : 154

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Book Description
This book provides a comprehensive set of characterization, prediction, optimization, evaluation, and evolution techniques for a diagnosis system for fault isolation in large electronic systems. Readers with a background in electronics design or system engineering can use this book as a reference to derive insightful knowledge from data analysis and use this knowledge as guidance for designing reasoning-based diagnosis systems. Moreover, readers with a background in statistics or data analytics can use this book as a practical case study for adapting data mining and machine learning techniques to electronic system design and diagnosis. This book identifies the key challenges in reasoning-based, board-level diagnosis system design and presents the solutions and corresponding results that have emerged from leading-edge research in this domain. It covers topics ranging from highly accurate fault isolation, adaptive fault isolation, diagnosis-system robustness assessment, to system performance analysis and evaluation, knowledge discovery and knowledge transfer. With its emphasis on the above topics, the book provides an in-depth and broad view of reasoning-based fault diagnosis system design. • Explains and applies optimized techniques from the machine-learning domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing;• Demonstrates techniques based on industrial data and feedback from an actual manufacturing line;• Discusses practical problems, including diagnosis accuracy, diagnosis time cost, evaluation of diagnosis system, handling of missing syndromes in diagnosis, and need for fast diagnosis-system development.

Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 456

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Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

Author: S. M. FISCH
Publisher:
ISBN:
Category :
Languages : en
Pages : 185

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Book Description
This report presents the methods and results of a study to develop a computer algorithm for automatically selecting test point locations in an electronic circuit, for generating test measurements, and for designing a corresponding test procedure. The algorithm is oriented towards analog circuits where piece-part fault isolations are made using sequential tests which can be performed either manually or on tape-controlled automatic test equipment. The algorithm was tested by introducing faults into the test circuit and then tests were made in accordance with the computer generated test procedure. The correct faults were selected and no false indications were present. The output from the computer program includes (1) a specification of necessary testpoint locations and (2) a sequential test procedure including measured nominal values and test limits under both good and faulty circuit conditions. (Author).

Author: Francesco Ferracuti
Publisher: MDPI
ISBN: 3036504621
Category : Technology & Engineering
Languages : en
Pages : 130

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Book Description
Due to the increasing demand for security and reliability in manufacturing and mechatronic systems, early detection and diagnosis of faults are key points to reduce economic losses caused by unscheduled maintenance and downtimes, to increase safety, to prevent the endangerment of human beings involved in the process operations and to improve reliability and availability of autonomous systems. The development of algorithms for health monitoring and fault and anomaly detection, capable of the early detection, isolation, or even prediction of technical component malfunctioning, is becoming more and more crucial in this context. This Special Issue is devoted to new research efforts and results concerning recent advances and challenges in the application of “Algorithms for Fault Detection and Diagnosis”, articulated over a wide range of sectors. The aim is to provide a collection of some of the current state-of-the-art algorithms within this context, together with new advanced theoretical solutions.

Author: Electronic Industries Association. Engineering Department
Publisher:
ISBN:
Category : Computer terminals
Languages : en
Pages : 13

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Book Description

Author: Hajrudin Efendic
Publisher:
ISBN: 9783854999867
Category :
Languages : en
Pages : 167

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Book Description

Author: William T. Etter
Publisher:
ISBN:
Category :
Languages : en
Pages : 46

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Book Description
This report documents an in-house program to test and evaluate the Fault Detection and Isolation Algorithm developed. Testing of the fault isolation capability required extensive use of the accompanying emulation facility. Several network connectivities were simulated. These included a Highly Interconnected Network, Dumbell Structured Network, Loop Network and a Backhauling Network. To test the performance of the algorithm on these networks, several different fault scenarios were designed for each network. Each scenario would take advantage of the connectivity particular to each network. The results of the testing show that the algorithm is able to correctly identify the location of a fault to the equipment level under a wide range of conditions. It is noted, however, that the time required to find these faults varies considerably with network connectivity. Based upon the test results detailed in this report, it is recommended that although the algorithm should be kept functionally the same, it should be rewritten to correct various deficiencies (such as execution time varying greatly with connectivity).