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• W3148788246 abstract "Methods based on vibration analysis are currently regarded as the most conclusive means for fault diagnosis and health prognostics in rotary machinery. However, changing working conditions mean that the vibration signals originating from rotary machinery exhibit different levels of complexity. This complexity leads to increased difficulty in constructing health indicators (HIs). In this paper, we propose a multiscale Tsallis permutation entropy (MTPE) to construct the HIs of rotary machinery under different working conditions. MTPE values are a function of an entropy index and scale, which have the universality for handling the complexity of a permutated time series. The health condition of the rotary machinery was effectively represented by the MTPEs in conditional monitoring; the initial point of the unhealthy stage was found using the <math xmlns=http://www.w3.org/1998/Math/MathML id=M1> <mn>3</mn> <mi>σ</mi> </math> interval. This was set as the alarm threshold according to the varying HI trend. Once this was established, dividing the stages into two-stage health stages (HS) was straightforward. Using a rolling bearing, a run-to-failure experiment was conducted and results suggested that the proposed method effectively assessed the status of the rotary machinery. Taken together, this study provided a novel complexity measure based on a methodology for constructing the HIs of rotary machinery and enriches conditional monitoring theory." @default.
• W3148788246 created "2021-04-13" @default.
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• W3148788246 date "2021-03-25" @default.
• W3148788246 modified "2023-10-10" @default.
• W3148788246 title "Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method" @default.
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• W3148788246 doi "https://doi.org/10.1155/2021/5584327" @default.
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