Fault diagnosis for rolling bearing early fault based on standardization transformation stochastic r

来源 :The 4th International Conference on Dynamics, Vibration and | 被引量 : 0次 | 上传用户：woxia012

【摘要】

：

It is very hard to detect the early fault of rolling bearing with classical methods when the fault signal energy is too low and the noise is too strong.Stochastic Resonance (SR) theory is a method to

【作者】

：

Ming Zhu Liming Jia Xiukun Wei

【机构】

：

School of Traffic and Transportation, Beijing Jiaotong University, Beijing China

【出处】

：

The 4th International Conference on Dynamics, Vibration and

【发表日期】

：

2014年8期

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It is very hard to detect the early fault of rolling bearing with classical methods when the fault signal energy is too low and the noise is too strong.Stochastic Resonance (SR) theory is a method to enhance the weak signal submerged in strong noise.But classic SR is hard applied to engineering for large parameters problem.The existing large parameter stochastic resonance models (LPSR) need either high sampling frequency or long sampling data length.

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Fault diagnosis for rolling bearing early fault based on standardization transformation stochastic r

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