Feature extraction of gear and bearing compound faults based on vibration signal sparse decomposition

G He, J Li, K Ding, Z Zhang - Applied acoustics, 2022 - Elsevier
Compound faults of gear and bearing in a gearbox tend to couple features both of
distributed and localized defects. The vibration signal shows overlapped modulation …

Non-stationary vibration feature extraction method based on sparse decomposition and order tracking for gearbox fault diagnosis

Y Li, K Ding, G He, X Jiao - Measurement, 2018 - Elsevier
Vibration signals of gearboxes working under time-varying conditions are non-stationary,
which causes difficulties to the fault diagnosis. Based on the techniques of signal sparse …

Multiple enhanced sparse decomposition for gearbox compound fault diagnosis

N Li, W Huang, W Guo, G Gao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The vibration monitoring of gearboxes is an effective means of ensuring the long-term safe
operation of rotating machinery. A gearbox may have more than one fault in actual …

Sparsity-enabled signal decomposition using tunable Q-factor wavelet transform for fault feature extraction of gearbox

G Cai, X Chen, Z He - Mechanical Systems and Signal Processing, 2013 - Elsevier
Localized faults in gearboxes tend to result in periodic shocks and thus arouse periodic
responses in vibration signals. Feature extraction has always been a key problem for …

Energy operator demodulating of optimal resonance components for the compound faults diagnosis of gearboxes

D Zhang, D Yu, W Zhang - Measurement Science and technology, 2015 - iopscience.iop.org
Compound faults diagnosis is a challenge for rotating machinery fault diagnosis. The
vibration signals measured from gearboxes are usually complex, non-stationary, and …

A novel impact feature extraction method based on EMD and sparse decomposition for gear local fault diagnosis

Z Liu, K Ding, H Lin, G He, C Du, Z Chen - Machines, 2022 - mdpi.com
Sparse decomposition has been widely used in gear local fault diagnosis due to its
outstanding performance in feature extraction. The extraction results depend heavily on the …

Gearbox coupling modulation separation method based on match pursuit and correlation filtering

G He, K Ding, H Lin - Mechanical systems and signal processing, 2016 - Elsevier
The vibration signal of faulty gearbox commonly involves complex coupling modulation
components. The method of sparse representation has been successfully used for gearbox …

Gear fault diagnosis based on the structured sparsity time-frequency analysis

R Sun, Z Yang, X Chen, S Tian, Y Xie - Mechanical systems and signal …, 2018 - Elsevier
Over the last decade, sparse representation has become a powerful paradigm in
mechanical fault diagnosis due to its excellent capability and the high flexibility for complex …

Multi-fault diagnosis of gearbox based on resonance-based signal sparse decomposition and comb filter

D Zhang, D Yu - Measurement, 2017 - Elsevier
Fault diagnosis of gearbox is very important for the security and reliability of the equipment.
In actual working conditions, multiple faults usually occur in a gearbox. However, the multi …

Diagnosis of compound fault using sparsity promoted-based sparse component analysis

Y Hao, L Song, Y Ke, H Wang, P Chen - Sensors, 2017 - mdpi.com
Compound faults often occur in rotating machinery, which increases the difficulty of fault
diagnosis. In this case, blind source separation, which usually includes independent …