Rolling bearing, a vulnerable component, is widely used in rotary machine. So it leads to a high frequency of failure of rotary machine. The failure of rolling bearing shall create abnormal vibration and noise; destroy the machine, or even worse cause personal injuries and other serious accidents. Therefore, the research on diagnosis and monitoring of fault roller bearing is significant.
Therefore, the thesis is used a pattern recognition technology-Hidden Markov Model (Hidden Markov Model, HMM), which ...
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