Intelligent Condition Based Monitoring
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Condition Monitoring And Control For Intelligent Manufacturing
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Author : Lihui Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-02
Condition Monitoring And Control For Intelligent Manufacturing written by Lihui Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-02 with Technology & Engineering categories.
Manufacturing systems and processes are becoming more complex, so more rational decision-making in process control is a necessity. Better information gathering and analysis techniques are needed and condition monitoring is seen as a framework that will enable these improvements. Condition Monitoring and Control for Intelligent Manufacturing brings together the world’s authorities on condition monitoring to provide a broad treatment of the subject accessible to researchers and practitioners in manufacturing industry. The book presents a review of the key areas of research in machine condition monitoring and control, before focusing on an in-depth treatment of each important technique, from multi-domain signal processing for defect diagnosis to web-based information delivery for real-time control. Researchers in manufacturing and control engineering, as well as practising engineers in industries from automotive to packaging manufacturing will find this book valuable.
Intelligent Condition Based Monitoring
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Author : Nishchal K. Verma
language : en
Publisher: Springer Nature
Release Date : 2020-01-13
Intelligent Condition Based Monitoring written by Nishchal K. Verma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-13 with Technology & Engineering categories.
This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational intelligence and fuzzy control principles to deliver a module that can adaptively monitor and optimize machine health and performance. This book covers design and performance of such systems and provides case studies and data models for fault detection and diagnosis. The contents cover everything from optimal sensor positioning to fault diagnosis. The principles laid out in this book can be applied across rotating machinery such as turbines, compressors, and aircraft engines. The adaptive fault diagnostics systems presented can be used in multiple time and safety critical applications in domains such as aerospace, automotive, deep earth and deep water exploration, and energy.
Condition Monitoring Using Computational Intelligence Methods
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Author : Tshilidzi Marwala
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-23
Condition Monitoring Using Computational Intelligence Methods written by Tshilidzi Marwala and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-23 with Technology & Engineering categories.
Condition Monitoring Using Computational Intelligence Methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance costs. The text introduces various signal-processing and pre-processing techniques, wavelets and principal component analysis, for example, together with their uses in condition monitoring and details the development of effective feature extraction techniques classified into frequency-, time-frequency- and time-domain analysis. Data generated by these techniques can then be used for condition classification employing tools such as: • fuzzy systems; rough and neuro-rough sets; neural and Bayesian networks;hidden Markov and Gaussian mixture models; and support vector machines.
Design Of An Intelligent Embedded System For Condition Monitoring Of An Industrial Robot
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Author : Alaa Abdulhady Jaber
language : en
Publisher: Springer
Release Date : 2018-06-15
Design Of An Intelligent Embedded System For Condition Monitoring Of An Industrial Robot written by Alaa Abdulhady Jaber and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-15 with Technology & Engineering categories.
This thesis introduces a successfully designed and commissioned intelligent health monitoring system, specifically for use on any industrial robot, which is able to predict the onset of faults in the joints of the geared transmissions. However the developed embedded wireless condition monitoring system leads itself very well for applications on any power transmission equipment in which the loads and speeds are not constant, and access is restricted. As such this provides significant scope for future development. Three significant achievements are presented in this thesis. First, the development of a condition monitoring algorithm based on vibration analysis of an industrial robot for fault detection and diagnosis. The combined use of a statistical control chart with time-domain signal analysis for detecting a fault via an arm-mounted wireless processor system represents the first stage of fault detection. Second, the design and development of a sophisticated embedded microprocessor base station for online implementation of the intelligent condition monitoring algorithm, and third, the implementation of a discrete wavelet transform, using an artificial neural network, with statistical feature extraction for robot fault diagnosis in which the vibration signals are first decomposed into eight levels of wavelet coefficients.
Condition Monitoring And Assessment Of Power Transformers Using Computational Intelligence
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Author : W.H. Tang
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-19
Condition Monitoring And Assessment Of Power Transformers Using Computational Intelligence written by W.H. Tang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-19 with Technology & Engineering categories.
In recent years, rapid changes and improvements have been witnessed in the field of transformer condition monitoring and assessment, especially with the advances in computational intelligence techniques. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence applies a broad range of computational intelligence techniques to deal with practical transformer operation problems. The approaches introduced are presented in a concise and flowing manner, tackling complex transformer modelling problems and uncertainties occurring in transformer fault diagnosis. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence covers both the fundamental theories and the most up-to-date research in this rapidly changing field. Many examples have been included that use real-world measurements and realistic operating scenarios of power transformers to fully illustrate the use of computational intelligence techniques for a variety of transformer modelling and fault diagnosis problems. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence is a useful book for professional engineers and postgraduate students. It also provides a firm foundation for advanced undergraduate students in power engineering.
Artificial Intelligence Tools
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Author : Diego Galar Pascual
language : en
Publisher: CRC Press
Release Date : 2015-04-22
Artificial Intelligence Tools written by Diego Galar Pascual and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-22 with Computers categories.
Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniquesConsiders the merits of e
Smart Monitoring Of Rotating Machinery For Industry 4 0
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Author : Fakher Chaari
language : en
Publisher: Springer Nature
Release Date : 2021-08-20
Smart Monitoring Of Rotating Machinery For Industry 4 0 written by Fakher Chaari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-20 with Technology & Engineering categories.
This book offers an overview of current methods for the intelligent monitoring of rotating machines. It describes the foundations of smart monitoring, guiding readers to develop appropriate machine learning and statistical models for answering important challenges, such as the management and analysis of a large volume of data. It also discusses real-world case studies, highlighting some practical issues and proposing solutions to them. The book offers extensive information on research trends, and innovative strategies to solve emerging, practical issues. It addresses both academics and professionals dealing with condition monitoring, and mechanical and production engineering issues, in the era of industry 4.0.
Condition Monitoring With Vibration Signals
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Author : Hosameldin Ahmed
language : en
Publisher: John Wiley & Sons
Release Date : 2020-01-07
Condition Monitoring With Vibration Signals written by Hosameldin Ahmed and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Technology & Engineering categories.
Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance. Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines starts by introducing readers to Vibration Analysis Techniques and Machine Condition Monitoring (MCM). It then offers readers sections covering: Rotating Machine Condition Monitoring using Learning Algorithms; Classification Algorithms; and New Fault Diagnosis Frameworks designed for MCM. Readers will learn signal processing in the time-frequency domain, methods for linear subspace learning, and the basic principles of the learning method Artificial Neural Network (ANN). They will also discover recent trends of deep learning in the field of machine condition monitoring, new feature learning frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the fundamental as well as the state-of-the-art approaches to machine condition monitoringguiding readers from the basics of rotating machines to the generation of knowledge using vibration signals Provides new methods, including machine learning and compressive sampling, which offer significant improvements in accuracy with reduced computational costs Features learning algorithms that can be used for fault diagnosis and prognosis Includes previously and recently developed dimensionality reduction techniques and classification algorithms Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines is an excellent book for research students, postgraduate students, industrial practitioners, and researchers.
Artificial Intelligence
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Author : Marco Antonio Aceves-Fernandez
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-06-27
Artificial Intelligence written by Marco Antonio Aceves-Fernandez and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-27 with Computers categories.
Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.
Intelligent Condition Monitoring And Diagnosis Systems
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Author : Kesheng Wang
language : en
Publisher: IOS Press
Release Date : 2003
Intelligent Condition Monitoring And Diagnosis Systems written by Kesheng Wang and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
This work covers intelligent system development. In order to survive in an uncertain environment, it is necessary to bring artificial neural networks, fuzzy logic systems, genetic algorithms and expert systems together to make a condition monitoring and diagnosis system more reliable and cost effective than a traditional one. The focus of intelligent condition monitoring and diagnosis system is on practical applications of intelligent techniques. The text provides practicing engineers and scientists with the information they need to solve the problems in both industry and academia.