Diagnosis and Prognosis Method for Bearing Fault
Diagnosis and Prognosis Method for Bearing Fault
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发表时间：
2011
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通讯作者：
Li Zhi-yongb
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作者：
Li Zhi-yongb
提出了基于HMM的故障诊断和基于HHMM的故障预测框架。针对HHMM原有的推理算法复杂、耗时较长的问题，将HHMM转化为DBN，并采用连接树推理算法缩短推理时间。将所提方法应用于滚动轴承的故障诊断和故障预测（剩余使用寿命，RUL）。结果表明了该方法的有效性。
A framework for fault diagnosis is presented based on HMM and fault prognosis based on HHMM.Aimed at that the original inference algorithm of HHMM is somewhat complicated and takes long time,the HHMM is transformed into DBN and the junction tree inference algorithm is employed to shorten the inference time.The proposed methods are applied to fault diagnosis and fault prognosis(remaining useful life,RUL) of a rolling bearing.The results show the validity of the methods.