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 decomposition application in extraction of rolling bearing weak fault information

W Huang, Y Liu, X Li - Foundations of Intelligent Systems: Proceedings of …, 2014 - Springer
It is significant to detect the fault type and assess the fault level as early as possible for
avoiding catastrophic accidents. In the early fault diagnosis of rolling bearing, the vibration …

[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 …

Resonance-based sparse signal decomposition and its application in mechanical fault diagnosis: a review

W Huang, H Sun, W Wang - Sensors, 2017 - mdpi.com
Mechanical equipment is the heart of industry. For this reason, mechanical fault diagnosis
has drawn considerable attention. In terms of the rich information hidden in fault vibration …

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 …

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 …

Multiple faults detection for rotating machinery based on bicomponent sparse low-rank matrix separation approach

Q Li, SY Liang - IEEE Access, 2018 - ieeexplore.ieee.org
Multifault detection of rotating machinery at the incipient fault stage presents a challenging
issue due to its interaction feature, complexity, and coupling characteristics. Aiming at the …

High resonance component of resonance-based sparse decomposition application in extraction of rolling bearing fault information

WT Huang, YF Liu, PL Niu, WJ Wang - Advanced Materials …, 2013 - Trans Tech Publ
In the early fault diagnosis of rolling bearing, the vibration signal is mixed with a lot of noise,
resulting in the difficulties in analysis of early weak fault signal. This article introduces …

Noise-robust adaptive feature mode decomposition method for accurate feature extraction in rotating machinery fault diagnosis

Y Chen, Z Mao, X Hou, Z Zhang, J Zhang… - Mechanical Systems and …, 2024 - Elsevier
Rotating machinery typically consists of multiple rotating components, and its fault signals
contain not only periodic impulse components caused by local defects but also periodic …