A Smart Real-Time Monitoring System for Fault-Diagnosis of Ball-Bearings

UM > Faculty of Science and Technology > DEPARTMENT OF ELECTROMECHANICAL ENGINEERING

Status	已發表Published
	A Smart Real-Time Monitoring System for Fault-Diagnosis of Ball-Bearings
	Chen, C. S. ; Ke, Y. C. ; Tam, L. M.; Li, S. Y.
	2019-05-01
Source Publication	Proceeding of IEEE International Conference on Consumer Electronics 2019
Abstract	In this paper, a smart real-time monitoring system is developed, which attempts to produce key features for different kinds of sensing targets via applying chaos mapping strategy. Traditional way for machine learning is to extract and select those features from original signals, which requires domain knowledge related to the sensing targets, and many of statistics approaches are necessary for further selecting high-correlated features. In this paper, a smart machine with feature-production is developed, where those measured signals are mapped into chaotic domain. Through properly parameters adjusting and autonomous optimization of feature values, different and obvious key-features can be obtained for each of distinct states, which are clear as well as unique to their original signals properties. Finally, simple criteria can be further defined for states classifications. The classical ball-bearing system with four distinct states is illustrated for investigations. The experiment results reveal the proposed strategy is effective and feasible, where the high accuracy rate for states classifications can be achieved.
Keyword	Chaos Fault-Diagnosis
Language	英語English
The Source to Article	PB_Publication
PUB ID	47303
Document Type	Conference paper
Collection	DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding Author	Tam, L. M.
Recommended Citation GB/T 7714	Chen, C. S. ,Ke, Y. C. ,Tam, L. M.,et al. A Smart Real-Time Monitoring System for Fault-Diagnosis of Ball-Bearings[C], 2019.
APA	Chen, C. S. ., Ke, Y. C. ., Tam, L. M.., & Li, S. Y. (2019). A Smart Real-Time Monitoring System for Fault-Diagnosis of Ball-Bearings. Proceeding of IEEE International Conference on Consumer Electronics 2019.

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