› › Fault Detection And Diagnosis Using Hybrid Artificial Neural Network Based Method

A Hybrid Approach for Power Plant Fault Diagnostics

Author : Tamiru Alemu Lemma

Publisher : Springer

Page : 283 pages

File Size : 25,58 MB

Release : 2017-12-30

Category : Technology & Engineering

ISBN : 3319718711

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Book Description

This book provides a hybrid approach to fault detection and diagnostics. It presents a detailed analysis related to practical applications of the fault detection and diagnostics framework, and highlights recent findings on power plant nonlinear model identification and fault diagnostics. The effectiveness of the methods presented is tested using data acquired from actual cogeneration and cooling plants (CCPs). The models presented were developed by applying Neuro-Fuzzy (NF) methods. The book offers a valuable resource for researchers and practicing engineers alike.



Sensors Fault Diagnosis Trends and Applications

Author : Piotr Witczak

Publisher : MDPI

Page : 236 pages

File Size : 33,30 MB

Release : 2021-09-01

Category : Technology & Engineering

ISBN : 3036510486

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Book Description

Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.



Advances in Fault Detection and Diagnosis Using Filtering Analysis

Author : Ziyun Wang

Publisher : Springer Nature

Page : 192 pages

File Size : 22,88 MB

Release : 2021-10-25

Category : Technology & Engineering

ISBN : 9811659591

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Book Description

The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.



Hybrid Artificial Intelligent Systems, Part I

Author : Manuel Grana Romay

Publisher : Springer Science & Business Media

Page : 634 pages

File Size : 23,63 MB

Release : 2010-06-11

Category : Computers

ISBN : 3642137687

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Book Description

This book constitutes the proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, held in San Sebastian, Spain, in June 2010.



Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach

Author : Ehsan Sobhani-Tehrani

Publisher : Springer

Page : 275 pages

File Size : 14,44 MB

Release : 2009-06-06

Category : Technology & Engineering

ISBN : 038792907X

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Book Description

Theincreasingcomplexityofspacevehiclessuchassatellites,andthecostreduction measures that have affected satellite operators are increasingly driving the need for more autonomy in satellite diagnostics and control systems. Current methods for detecting and correcting anomalies onboard the spacecraft as well as on the ground are primarily manual and labor intensive, and therefore, tend to be slow. Operators inspect telemetry data to determine the current satellite health. They use various statisticaltechniques andmodels,buttheanalysisandevaluation ofthelargevolume of data still require extensive human intervention and expertise that is prone to error. Furthermore, for spacecraft and most of these satellites, there can be potentially unduly long delays in round-trip communications between the ground station and the satellite. In this context, it is desirable to have onboard fault-diagnosis system that is capable of detecting, isolating, identifying or classifying faults in the system withouttheinvolvementandinterventionofoperators.Towardthisend,theprinciple goal here is to improve the ef?ciency, accuracy, and reliability of the trend analysis and diagnostics techniques through utilization of intelligent-based and hybrid-based methodologies.



Fault Detection and Diagnosis in Industrial Systems

Author : L.H. Chiang

Publisher : Springer Science & Business Media

Page : 281 pages

File Size : 40,54 MB

Release : 2012-12-06

Category : Technology & Engineering

ISBN : 1447103475

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Book Description

Early and accurate fault detection and diagnosis for modern chemical plants can minimize downtime, increase the safety of plant operations, and reduce manufacturing costs. This book presents the theoretical background and practical techniques for data-driven process monitoring. It demonstrates the application of all the data-driven process monitoring techniques to the Tennessee Eastman plant simulator, and looks at the strengths and weaknesses of each approach in detail. A plant simulator and problems allow readers to apply process monitoring techniques.





Model-based Health Monitoring of Hybrid Systems

Author : Danwei Wang

Publisher : Springer Science & Business Media

Page : 306 pages

File Size : 22,5 MB

Release : 2013-05-23

Category : Computers

ISBN : 1461473691

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Book Description

This book systematically presents a comprehensive framework and effective techniques for in-depth analysis, clear design procedure, and efficient implementation of diagnosis and prognosis algorithms for hybrid systems. It offers an overview of the fundamentals of diagnosis\prognosis and hybrid bond graph modeling. This book also describes hybrid bond graph-based quantitative fault detection, isolation and estimation. Moreover, it also presents strategies to track the system mode and predict the remaining useful life under multiple fault condition. A real world complex hybrid system—a vehicle steering control system—is studied using the developed fault diagnosis methods to show practical significance. Readers of this book will benefit from easy-to-understand fundamentals of bond graph models, concepts of health monitoring, fault diagnosis and failure prognosis, as well as hybrid systems. The reader will gain knowledge of fault detection and isolation in complex systems including those with hybrid nature, and will learn state-of-the-art developments in theory and technologies of fault diagnosis and failure prognosis for complex systems.



Advances in Computational Intelligence

Author : Ildar Batyrshin

Publisher : Springer

Page : 492 pages

File Size : 22,70 MB

Release : 2013-03-21

Category : Computers

ISBN : 364237798X

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Book Description

The two-volume set LNAI 7629 and LNAI 7630 constitutes the refereed proceedings of the 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, held in San Luis Potosí, Mexico, in October/November 2012. The 80 revised papers presented were carefully reviewed and selected from 224 submissions. The second volume includes 40 papers focusing on soft computing. The papers are organized in the following topical sections: natural language processing; evolutionary and nature-inspired metaheuristic algorithms; neural networks and hybrid intelligent systems; fuzzy systems and probabilistic models in decision making.



Wavelets

Author : Robert X Gao

Publisher : Springer Science & Business Media

Page : 232 pages

File Size : 39,73 MB

Release : 2010-12-07

Category : Technology & Engineering

ISBN : 1441915451

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Book Description

Wavelets: Theory and Applications for Manufacturing presents a systematic description of the fundamentals of wavelet transform and its applications. Given the widespread utilization of rotating machines in modern manufacturing and the increasing need for condition-based, as opposed to fix-interval, intelligent maintenance to minimize machine down time and ensure reliable production, it is of critical importance to advance the science base of signal processing in manufacturing. This volume also deals with condition monitoring and health diagnosis of rotating machine components and systems, such as bearings, spindles, and gearboxes, while also: -Providing a comprehensive survey on wavelets specifically related to problems encountered in manufacturing -Discussing the integration of wavelet transforms with other soft computing techniques such as fuzzy logic, for machine defect and severity classification -Showing how to custom design wavelets for improved performance in signal analysis Focusing on wavelet transform as a tool specifically applied and designed for applications in manufacturing, Wavelets: Theory and Applications for Manufacturing presents material appropriate for both academic researchers and practicing engineers working in the field of manufacturing.