Information Theory and Its Application in Machine Condition Monitoring
Condition monitoring of machinery is one of the most important aspects of many modern industries. With the rapid advancement of science and technology, machines are becoming increasingly complex. Moreover, an exponential increase of demand is leading an increasing requirement of machine output. As a...
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Li, Yongbo edt Information Theory and Its Application in Machine Condition Monitoring Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (194 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Condition monitoring of machinery is one of the most important aspects of many modern industries. With the rapid advancement of science and technology, machines are becoming increasingly complex. Moreover, an exponential increase of demand is leading an increasing requirement of machine output. As a result, in most modern industries, machines have to work for 24 hours a day. All these factors are leading to the deterioration of machine health in a higher rate than before. Breakdown of the key components of a machine such as bearing, gearbox or rollers can cause a catastrophic effect both in terms of financial and human costs. In this perspective, it is important not only to detect the fault at its earliest point of inception but necessary to design the overall monitoring process, such as fault classification, fault severity assessment and remaining useful life (RUL) prediction for better planning of the maintenance schedule. Information theory is one of the pioneer contributions of modern science that has evolved into various forms and algorithms over time. Due to its ability to address the non-linearity and non-stationarity of machine health deterioration, it has become a popular choice among researchers. Information theory is an effective technique for extracting features of machines under different health conditions. In this context, this book discusses the potential applications, research results and latest developments of information theory-based condition monitoring of machineries. English Technology: general issues bicssc History of engineering & technology bicssc fault detection deep learning transfer learning anomaly detection bearing wind turbines misalignment fault diagnosis information fusion improved artificial bee colony algorithm LSSVM D-S evidence theory optimal bandwidth kernel density estimation JS divergence domain adaptation partial transfer subdomain rotating machinery gearbox signal interception peak extraction cubic spline interpolation envelope combined fault diagnosis empirical wavelet transform grey wolf optimizer low pass FIR filter support vector machine satellite momentum wheel Huffman-multi-scale entropy (HMSE) support vector machine (SVM) adaptive particle swarm optimization (APSO) rail surface defect detection machine vision YOLOv4 MobileNetV3 multi-source heterogeneous fusion 3-0365-3208-0 3-0365-3209-9 Gu, Fengshou edt Liang, Xihui edt Li, Yongbo oth Gu, Fengshou oth Liang, Xihui oth |
language |
English |
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eBook |
author2 |
Gu, Fengshou Liang, Xihui Li, Yongbo Gu, Fengshou Liang, Xihui |
author_facet |
Gu, Fengshou Liang, Xihui Li, Yongbo Gu, Fengshou Liang, Xihui |
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y l yl f g fg x l xl |
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HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
title |
Information Theory and Its Application in Machine Condition Monitoring |
spellingShingle |
Information Theory and Its Application in Machine Condition Monitoring |
title_full |
Information Theory and Its Application in Machine Condition Monitoring |
title_fullStr |
Information Theory and Its Application in Machine Condition Monitoring |
title_full_unstemmed |
Information Theory and Its Application in Machine Condition Monitoring |
title_auth |
Information Theory and Its Application in Machine Condition Monitoring |
title_new |
Information Theory and Its Application in Machine Condition Monitoring |
title_sort |
information theory and its application in machine condition monitoring |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
physical |
1 electronic resource (194 p.) |
isbn |
3-0365-3208-0 3-0365-3209-9 |
illustrated |
Not Illustrated |
work_keys_str_mv |
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Information Theory and Its Application in Machine Condition Monitoring |
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