Compound faults diagnosis based on customized balanced multiwavelets and adaptive maximum correlated kurtosis deconvolution

• Published in: Measurement : journal of the International Measurement Confederation Vol. 146; pp. 87 - 100
• Main Authors: Hong, Lianhuan, Liu, Xiaobo, Zuo, Hongyan
• Format: Journal Article
• Language: English
• Published: London Elsevier Ltd 01-11-2019; Elsevier Science Ltd
• Subjects: Adaptive maximum correlated kurtosis deconvolution; Bearings; Compound faults; Customization; Customized balanced multiwavelets; Deconvolution; Fault diagnosis; Fault tolerance; Kurtosis; Misalignment; Noise reduction; Rotating machinery; Rotation; Rubbing; Signal processing; Spectrum analysis; Unbalance; Vibration; Customized balanced multiwavelets; Compound faults; Rotating machinery; Adaptive maximum correlated kurtosis deconvolution
• ISSN: 0263-2241; 1873-412X
• DOI: 10.1016/j.measurement.2019.06.022

•Construct the adaptive balanced multiwavelets for vibration signal analysis.•New pre-selection for the parameters of maximum correlated kurtosis deconvolution.•Hybrid algorithm of rotating machinery compound fault diagnosis.•Multi-objective optimization rules to get the optimization parameters.
Due to the compound faults with different type fault coupled together and the nonobvious periodic impulses contaminated by strong noise, it is challenging to extract the fault characteristics from the rotating machinery. To overcome the limitations of maximum correlated kurtosis deconvolution (MCKD) and multiwavelets, a method combining customized balanced multiwavelets and adaptive MCKD is proposed for rotating mechanical compound faults diagnosis. First, the raw vibration signal is denoised by the customized balanced multiwavelets. Second, adaptive MCKD is utilized to decoupled the fault information from the denoised signal. Finally, the major fault characteristic frequency is extracted by Hilbert spectrum analysis. The feasibility and effectiveness of the method are demonstrated by the simulation signal and the experimental data on aero engine rotor experimental rig with compound faults combined by three different faults of rubbing fault, shaft misalignment fault and unbalance fault.