Jin Wuyin,Xu Jianxue
(State Key Laboratory of Mechanical Structural Strength and Vibration,Xi'an Jiaotong University,Xi'an 710049,Ｃhina)
Abstract:A technique is proposed for diagnosing and predicting faults based on the algorithm of cross-correlation integral and the comparison of the unstable signals by using overlapping sliding windows.For each sliding window,the signal is firstly transformed to pure phase information by taking the sequence of time intervals unidirectionally across the threshold.Furthermore,the time intervals are used for reconstructing the system's original phase space dynamical information by way of the delay embedding reconstruction.Finally, with these steps to reduce noise influence,the system faults are diagnosed and predicted by testing the variation of values of cross-correlation integral. The computational results show that the technique is reliable and real-time, and it could be expected to be applied to the diagnosis of large complex equipment.
Keywords:fault diagnosis;correlation integral;nonlinear denoise;nonlinear time series