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contributor authorLu, Siliang
contributor authorHe, Qingbo
contributor authorZhang, Haibin
contributor authorKong, Fanrang
date accessioned2017-05-09T01:25:12Z
date available2017-05-09T01:25:12Z
date issued2015
identifier issn1048-9002
identifier othervib_137_05_051008.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160096
description abstractThe faultinduced impulses with uneven amplitudes and durations are always accompanied with amplitude modulation and (or) frequency modulation, which leads to that the acquired vibration/acoustic signals for rotating machine fault diagnosis always present nonlinear and nonstationary properties. Such an effect affects precise fault detection, especially when the impulses are submerged in heavy background noise. To address this issue, a nonstationary weak signal detection strategy is proposed based on a timedelayed feedback stochastic resonance (TFSR) model. The TFSR is a longmemory system that can utilize historical information to enhance the signal periodicity in the feedback process, and such an effect is beneficial to periodic signal detection. By selecting the proper parameters including time delay, feedback intensity, and calculation step in the regime of TFSR, the weak signal, the noise, and the potential can be matched with each other to an extreme, and consequently a regular output waveform with lownoise interference can be obtained with the assistant of the distinct bandpass filtering effect. Simulation study and experimental verification are performed to evaluate the effectiveness and superiority of the proposed TFSR method in comparison with a traditional stochastic resonance (SR) method. The proposed method is suitable for detecting signals with strong nonlinear and nonstationary properties and (or) being subjected to heavy multiscale noise interference.
publisherThe American Society of Mechanical Engineers (ASME)
titleEnhanced Rotating Machine Fault Diagnosis Based on Time Delayed Feedback Stochastic Resonance
typeJournal Paper
journal volume137
journal issue5
journal titleJournal of Vibration and Acoustics
identifier doi10.1115/1.4030346
journal fristpage51008
journal lastpage51008
identifier eissn1528-8927
treeJournal of Vibration and Acoustics:;2015:;volume( 137 ):;issue: 005
contenttypeFulltext


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