A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing

• Published in: Shock and vibration Vol. 2020; no. 2020; pp. 1 - 11
• Main Authors: Wang, Xiaoyu, Jia, Sixiang, Han, Baokun, Wang, Jinrui, Zhang, Guowei, He, Jingtao
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2020; Hindawi; John Wiley & Sons, Inc; Hindawi Limited
• Subjects: Acoustic noise; Acoustics; Algorithms; Back propagation; Computing time; Datasets; Diagnostic systems; Fast Fourier transformations; Fault diagnosis; Feature extraction; Filtration; Fourier transforms; Frequency domain analysis; Gear trains; Learning; Methods; Neural networks; Noise reduction; Rotating machinery; Signal processing; Signal to noise ratio; Sparsity; Teaching methods; Wavelet transforms

Increased attention has been paid to research on intelligent fault diagnosis under acoustic signals. However, the signal-to-noise ratio of acoustic signals is much lower than vibration signals, which increases the difficulty of signal denoising and feature extraction. To solve the above defect, a no...