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	Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery
	Zhinong Li ; Zhaotong Wu ; Yongyong He ; Chu Fulei
	2010-05-10 ; 2010-05-10
关键词	Practical Theoretical or Mathematical/ electric machines fast Fourier transforms fault diagnosis feature extraction hidden Markov models machine testing pattern classification time series wavelet transforms/ hidden Markov model fault diagnostics method rotating machinery speed-up process speed-down process feature extraction fault recognition dynamic time series pattern classification feature vectors fast Fourier transform wavelet transform fault feature/ E2300 Mechanical machinery E0210J Statistics E0210C Mathematical analysis E2100 General mechanics E1630 Testing E1020 Maintenance and reliability
中文摘要	It is very important to ensure that the large rotating machinery operates safely and reliably. The behaviour characteristics of the speed-up and speed-down process in a rotating machinery possess the distinct diagnostic value. The abundant information, non-stationarity, poor repeatability and reproducibility in the speed-up and speed-down process lead to the necessity to find the corresponding approach of feature extraction and fault recognition. The hidden Markov model (HMM) is very suitable for modelling the dynamic time series, and has a strong capability of pattern classification, especially for a signal with abundant information, non-stationarity, poor repeatability and reproducibility. At the same time, HMM can process the random long sequences in theory. Based on these features, HMM is very suitable for the signal from the speed-up and speed-down process in rotating machinery. As a result, HMM is introduced to the fault diagnosis of rotating machinery, and a new HMM-based approach of the fault diagnosis for the speed-up and speed-down process is proposed. The main idea of the proposed approach is that the feature vectors, which are obtained by the FFT, wavelet transform, bispectrum, etc., are used as fault features, respectively, and the HMMs as the classifiers to recognise the faults of the speed-up and speed-down process in rotating machinery. The experimental results show that the proposed approach is feasible and effective.
语种	英语 ; 英语
出版者	Academic Press ; UK
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/24546]
专题	清华大学
推荐引用方式 GB/T 7714	Zhinong Li,Zhaotong Wu,Yongyong He,et al. Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery[J],2010, 2010.
APA	Zhinong Li,Zhaotong Wu,Yongyong He,&Chu Fulei.(2010).Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery..
MLA	Zhinong Li,et al."Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery".(2010).

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