期刊
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
卷 31, 期 -, 页码 369-381出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2012.04.016
关键词
Fault detection; Non-stationary signals; Wavelet packet transform; Renyi entropy
资金
- Slovenian Research Agency [P2-0001]
- Competence Centre for Advanced Control Technologies
- Republic of Slovenia, Ministry of Higher Education, Science and Technology
- European Union (EU)-European Regional Development Fund within the Operational Programme for Strengthening Regional Development Potentials
In this paper we propose a novel approach for the diagnosis of gearboxes in presumably non-stationary and unknown operating conditions. The approach makes use of information indices based on the Renyi entropy derived from coefficients of the wavelet packet transform of measured vibration records. These indices quantify some statistical properties of instantaneous power of the generated vibration that are largely unaffected by changes in the operating conditions. The analysis is based on probability density of the envelope of a sum of sinusoidal signals with random amplitude and phase. Such an approach requires no a priori information about the operating conditions and no prior data describing physical characteristics of the monitored drive. The fault detection capabilities of the proposed feature set are demonstrated on a two-stage gearbox operating under different rotational speeds and loads with various seeded mechanical faults. (C) 2012 Elsevier Ltd. All rights reserved.
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