Rényi Entropy Based Statistical Complexity Analysis for Gear Fault Prognostics under Variable Load
作者： Pavle Boškoski , Đani Juričić
DOI: 10.1007/978-3-642-28768-8_3
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摘要: In this paper we propose an approach for gear fault prognostics in presumably non-stationary and unknown operating conditions. The monitors the evolution of statistical complexity generated vibrations envelope vis-a-vis its Renyi entropy. is obtained through wavelet coefficients calculated from vibrations. Such allows seamless estimation remaining useful life monitored drive without any prior information about conditions no a priori data regarding physical characteristics drive. effectiveness was evaluated on experiments monitoring natural progress under variable load.
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