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MACHINE NOISE MONITORING AND FAULT DIAGNOSIS
BASED ON BLIND SIGNAL PROCESSING
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Wang Yu ,Chi Yilin ,Wu Xing |
(Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650093) |
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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.
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Received: 10 June 2008
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