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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Format:	Online
Idioma:	anglès
Publicat:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Matèries:	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 n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accés en línia:	ONIX_20220506_9783036532080_152
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Information Theory and Its Application in Machine Condition Monitoring

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