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5. An extension of the negentropy and unscented kalman filter to bayesian inference for bearing fault f

An extension of the negentropy and unscented kalman filter to bayesian inference for bearing fault f

来源 :The 5th International Conference on Dynamics, Vibration and | 被引量 : 0次 | 上传用户：xdzc2009cccc

【摘 要】

：

In engineering practice,the types of rolling bearing failure are typical and the fault signals are impulsiveness.A dynamic Bayesian wavelet transform method based on negentropy and unscented Kalman fi

【作 者】

：

Jing Zhao Shaopu Yang Yongqiang Liu 

【机 构】

：

Department of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China

【出 处】

：

The 5th International Conference on Dynamics, Vibration and

【发表日期】

：

2018年11期

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　　In engineering practice,the types of rolling bearing failure are typical and the fault signals are impulsiveness.A dynamic Bayesian wavelet transform method based on negentropy and unscented Kalman filter is proposed.

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