[PDF][PDF] Resonance-based sparse signal decomposition based on the quality factors optimization and its application of composite fault diagnosis to planetary gearbox

黄文涛, 付强, 窦宏印 - Journal of Mechanical Engineering, 2016 - qikan.cmes.org
: The quality factors determine the resonance of resonance-based sparse signal
decomposition (RSSD), and directly affect the performance of RSSD. In the existing RSSD …

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 …

Optimal resonance-based signal sparse decomposition and its application to fault diagnosis of rotating machinery

D Zhang, D Yu, X Li - Proceedings of the Institution of …, 2017 - journals.sagepub.com
The fault diagnosis of rotating machinery is quite important for the security and reliability of
the overall mechanical equipment. As the main components in rotating machinery, the gear …

Resonance-based sparse signal decomposition based on genetic optimization and its application to composite fault diagnosis of rolling bearings

W Huang, Q Fu, H Dou, Z Dong - ASME …, 2015 - asmedigitalcollection.asme.org
The selection of approximate values for the weight coefficients of the objective function in the
existing RSSD with large subjective randomness reduces the advantages of this method for …

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 …

An Integrated Model of Atom Search Optimization‐Based Resonance Sparse Signal Decomposition and Cross‐Validation SVM for Gearbox Fault Diagnosis

F Bie, Y Wu, Y Zhang, J Peng, H Zhu - Shock and Vibration, 2022 - Wiley Online Library
In the aspect of gearbox fault diagnosis, the periodic pulse signal containing fault
characteristics is often overwhelmed with other strong interference components, which …

Compound fault diagnosis of a wind turbine gearbox based on MOMEDA and parallel parameter optimized resonant sparse decomposition

Y Feng, X Zhang, H Jiang, J Li - Sensors, 2022 - mdpi.com
Wind turbines usually operate in harsh environments. The gearbox, the key component of
the transmission chain in wind turbines, can easily be affected by multiple factors during the …

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 …

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 …

[引用][C] Research on multi-source sparse optimization method and its application in compound fault detection of gearbox

黄伟国, 李仕俊, 毛磊, 马玉强, 王俊… - Journal of Mechanical …, 2021 - qikan.cmes.org
Gearbox is prone to compound fault because of its harsh working environment. The fault
vibration signal of gearbox often contains multiple components and is corrupted by heavy …