MACHINE NOISE MONITORING AND FAULT DIAGNOSIS BASED ON BLIND SIGNAL PROCESSING

Wang Yu;Chi Yilin;Wu Xing

Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (6) : 32-41.

PDF(1240 KB)
PDF(1240 KB)
Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (6) : 32-41.
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MACHINE NOISE MONITORING AND FAULT DIAGNOSIS BASED ON BLIND SIGNAL PROCESSING

  • Wang Yu ,Chi Yilin ,Wu Xing
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Abstract

Abstract: On the basis of introducing the unified model of blind signal processing (BSP), the typical BSP algorithms are comprehensively concluded, and the present research status of BSP in machine noise monitoring and fault diagnosis are summarized. It is emphatically discussed that mixed models, blind source separation and blind deconvolution of mechanical noise, blind source separation combined with other technologies and machine noise monitoring and diagnosis system based on BSP. Finally, the future further main research is put forward.

Key words

blind signal processing / machine noise monitoring / fault diagnosis

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Wang Yu;Chi Yilin;Wu Xing. MACHINE NOISE MONITORING AND FAULT DIAGNOSIS BASED ON BLIND SIGNAL PROCESSING [J]. Journal of Vibration and Shock, 2009, 28(6): 32-41
PDF(1240 KB)

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