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Intelligent planetary gear fault diagnosis system based on MEMS acoustic emission sensor
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作者 Hanjie Dou Tao Liu +5 位作者 Zhihao Li Jixuan Zhang Jiaqian Yang Yuchen Mao Wanyu Xu Xiaojing Mu 《Microsystems & Nanoengineering》 2025年第3期567-576,共10页
Early equipment fault diagnosis can identify potential risks,significantly reduce maintenance costs,and minimize property damage.However,vibration,strain,and force sensors operating at low frequencies with narrow band... Early equipment fault diagnosis can identify potential risks,significantly reduce maintenance costs,and minimize property damage.However,vibration,strain,and force sensors operating at low frequencies with narrow bandwidths are insufficiently sensitive to fault information,making early fault prediction challenging.Here,we introduce a high-performance,cost-effective,and tiny-sized micro-electromechanical system(MEMS)acoustic emission sensor.This sensor utilizes a 10×11 hexagonal array of piezoelectric micromachined ultrasonic transducers with a chip size of 4 mm×4 mm×0.4 mm.The sensor is encapsulated using an epoxy/Al_(2)O_(3) composite for acoustic impedance matching,and its overall size isΦ16 mm×H 5.5 mm,with a weight of approximately 3 g.This acoustic emission sensor achieves a peak sensitivity of 88.4 dB(ref.V/(m/s))at 335 kHz,and its sensitivity remains above 60 dB across the frequency range from 15 kHz to 620 kHz.In addition,combined with the residual neural networks,an intelligent fault diagnosis of the planetary gear is realized.This MEMS acoustic emission sensor can provide a promising approach for in-situ fault monitoring of highly integrated and miniaturized industrial equipment. 展开更多
关键词 mems acoustic emission sensor hexagonal array equipment fault diagnosis piezoelectric micromac identify potential riskssignificantly planetary gear early fault diagnosis fault prediction
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