Construction of health indicators for condition monitoring of rotating machinery: A review of the research

H Zhou, X Huang, G Wen, Z Lei, S Dong… - Expert Systems with …, 2022 - Elsevier
The condition monitoring (CM) of rotating machinery (RM) is an essential operation for
improving the reliability of mechanical systems. For this purpose, an efficient CM method that …

A review on the application of blind deconvolution in machinery fault diagnosis

Y Miao, B Zhang, J Lin, M Zhao, H Liu, Z Liu… - Mechanical Systems and …, 2022 - Elsevier
Fault diagnosis is of significance for ensuring the safe and reliable operation of machinery
equipment. Due to the heavy noise and interference, it is difficult to detect the fault directly …

Practical framework of Gini index in the application of machinery fault feature extraction

Y Miao, J Wang, B Zhang, H Li - Mechanical Systems and Signal …, 2022 - Elsevier
Gini index (GI) is an outstanding sparsity index that has high robustness for the interference
of the random impulse noise. Yet, as a new index, the definition of GI in different domains is …

Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring

D Wang, Y Chen, C Shen, J Zhong, Z Peng… - Mechanical Systems and …, 2022 - Elsevier
In recent years, various neural networks have been developed to process vibration signals
for machine condition monitoring. Nevertheless, the physical interpretation of neural …

Fast nonlinear blind deconvolution for rotating machinery fault diagnosis

Z Zhang, J Wang, S Li, B Han, X Jiang - Mechanical Systems and Signal …, 2023 - Elsevier
Sparse optimization based early fault diagnosis method is drawing more and more attention.
In these methods, the objective function is usually a sparsity measure which can represent …

Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum

L Xu, S Chatterton, P Pennacchi - Mechanical Systems and Signal …, 2021 - Elsevier
The diagnosis of early-stage defects of rolling element bearings (REBs) using vibration
signals is a very difficult task since bearing fault signals are usually weak and masked by …

Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition

Y Miao, M Zhao, J Lin - ISA transactions, 2019 - Elsevier
Parameter-adaptive variational mode decomposition (VMD) has attenuated the dominant
effect of prior parameters, especially the predefined mode number and balancing parameter …

Adaptive maximum second-order cyclostationarity blind deconvolution and its application for locomotive bearing fault diagnosis

B Zhang, Y Miao, J Lin, Y Yi - Mechanical Systems and Signal Processing, 2021 - Elsevier
Maximum second-order cyclostationarity blind deconvolution (CYCBD) outperforms other
deconvolution methods in retrieving the weak periodic impulses related to bearing incipient …

IGIgram: An improved Gini index-based envelope analysis for rolling bearing fault diagnosis

B Chen, D Song, Y Cheng, W Zhang… - Journal of dynamics …, 2022 - ojs.istp-press.com
The transient impulse features caused by rolling bearing faults are often present in the
resonance frequency band which is closely related to the dynamic characteristics of the …

Some further thoughts about spectral kurtosis, spectral L2/L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients

D Wang - Mechanical Systems and Signal Processing, 2018 - Elsevier
Thanks to the great efforts made by Antoni (Mech. Syst. Signal Pr. 20 (2006) 282–307),
spectral kurtosis has been recognized as a milestone to characterize repetitive transients …