A novel correntropy-based band selection method for the fault diagnosis of bearings under fault-irrelevant impulsive and cyclostationary interferences. (15th May 2021)

• Record Type: Journal Article
• Authors: Ni, Qing; Ji, J.C.; Feng, Ke; Halkon, Benjamin
• Is Part Of: Mechanical systems and signal processing. Volume 153(2021)
• Publication Date: 2021-05-15
• Subjects: Demodulation -- Fault diagnosis -- Informative frequency band -- Fast kurtogram -- FECgram; BPFI Ball pass frequency of inner race -- BPFO Ball pass frequency of outer race -- BSF Ball spin frequency -- DDS Drivetrain Diagnostics Simulator -- ES Envelope spectrum -- ESC Energy spectrum based on correntropy -- FCF Fault characteristic frequency -- FEC Fault energy based on correntropy -- FIR Finite impulse response -- FK Fast kurtogram -- ICS2 Indicator of second-order cyclostationarity -- IFB Informative frequency band -- MFS Machinery Fault Simulator -- RCC Ratio of cyclic content -- SDOF Single degree of freedom -- SE Squared envelope -- SES Squared envelope spectrum -- SK Spectral kurtosis -- STFT Short-time Fourier transform -- UESTC University of Electronic Science and Technology of China -- UNSW University of New South Wales -- WPT wavelet packet transform; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2020.107498
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: An indicator to calculate the targeted fault energy based on correntropy is proposed. A band selection method that is insensitive to impulsive and cyclostationary noise is developed. Comparisons with classical band selection methods are conducted on simulation and experimental data. Bearing faults are successfully diagnosed in three challenging datasets. Abstract: Demodulation analysis is one of the most effective methods for bearing fault diagnosis. However, in practical applications, the interferences from ambient noises or other rotating components may create great challenges to demodulation analysis and thus decrease its effectiveness. Generally, a selection procedure for the most informative frequency band (IFB) is usually implemented in advance to extract the fault features that are hidden by the interferences. The fast kurtogram (FK) has been utilized as a benchmark for the IFB selection. Although designed to identify the most impulsive part of the signal, the FK is inevitably affected by the fault-irrelevant impulsive and cyclostationary interferences due to the dual sensitiveness to the impulsiveness and cyclostationarity of the kurtosis, and thus it may produce a misleading band for demodulation. To address this issue, a novel and robust IFB selection method based on the fault energy of correntropy (named FECgram) is proposed in this paper to replace the FK, through which the IFB can capture the fault symptom without being influenced by the fault-irrelevant impulsive and cyclostationary interferences. The superiority of the FECgram in combination with the squared envelope spectrum (SES) is validated on both simulation data and three different challenging experimental datasets.