Looseness Diagnosis of Rotating Machinery Via Vibration Analysis Through Hilbert-Huang Transform Approach

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题名:	Looseness Diagnosis of Rotating Machinery Via Vibration Analysis Through Hilbert-Huang Transform Approach
作者:	Wu,TY;Chung,YL;Liu,CH
贡献者:	機械工程學系
关键词:	EMPIRICAL MODE DECOMPOSITION;FAULT-DIAGNOSIS;FUZZY-LOGIC;JOINT
日期:	2010
上传时间:	2012-03-27 17:03:42 (UTC+8)
出版者:	國立中央大學
摘要:	The objective of this research in this paper is to investigate the feasibility of utilizing the Hilbert-Huang transform method for diagnosing the looseness faults of rotating machinery. The complicated vibration signals of rotating machinery are decomposed into finite number of intrinsic mode functions (IMFs) by integrated ensemble empirical mode decomposition technique. Through the significance test, the information-contained IMFs are selected to form the neat time-frequency Hilbert spectra and the corresponding marginal Hilbert spectra. The looseness faults at different components of the rotating machinery can be diagnosed by measuring the similarities among the information-contained marginal Hilbert spectra. The fault indicator index is defined to measure the similarities among the information-contained marginal Hilbert spectra of vibration signals. By combining the statistical concept of Mahalanobis distance and cosine index, the fault indicator indices can render the similarities among the marginal Hilbert spectra to enhanced and distinguishable quantities. A test bed of rotor-bearing system is performed to illustrate the looseness faults at different mechanical components. The effectiveness of the proposed approach is evaluated by measuring the fault indicator indices among the marginal Hilbert spectra of different looseness types. The results show that the proposed diagnosis method is capable of classifying the distinction among the marginal Hilbert spectra distributions and thus identify the type of looseness fault at machinery. [DOI: 10.1115/1.4000782]
關聯:	JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME
显示于类别:	[機械工程學系] 期刊論文

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