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• W2042322728 abstract "Effective extraction of weak signals submerged in strong noise that are indicative of structural defects has remained a major challenge in fault diagnosis for rotary machines. Unlike traditional techniques that focus on noise filtering and reduction, stochastic resonance (SR) takes a noise-assisted approach to detecting weak signals. This paper presents a new adaptive method for weak signal detection, termed Dual-scale Cascaded Adaptive Stochastic Resonance (DuSCASR), which can quantify the frequency content of a weak signal without prior knowledge. Simulations and experiments have confirmed the effectiveness of the method in bearing fault diagnosis at the incipient stage, with high precision and robustness." @default.
• W2042322728 created "2016-06-24" @default.
• W2042322728 creator A5001965178 @default.
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• W2042322728 date "2013-10-01" @default.
• W2042322728 modified "2023-09-30" @default.
• W2042322728 title "Dual-scale cascaded adaptive stochastic resonance for rotary machine health monitoring" @default.
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• W2042322728 doi "https://doi.org/10.1016/j.jmsy.2013.05.009" @default.
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