A rotating machinery fault diagnosis method based on multi-scale dimensionless indicators and random forests
Q Hu, XS Si, QH Zhang, AS Qin - Mechanical systems and signal …, 2020 - Elsevier
Fault diagnosis methods based on dimensionless indicators have long been studied for
rotating machinery. However, traditional dimensionless indicators frequently suffer a low …
rotating machinery. However, traditional dimensionless indicators frequently suffer a low …
Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning
Q Xu, S Lu, W Jia, C Jiang - Journal of Intelligent Manufacturing, 2020 - Springer
Fault diagnosis plays an essential role in rotating machinery manufacturing systems to
reduce their maintenance costs. How to improve diagnosis accuracy remains an open issue …
reduce their maintenance costs. How to improve diagnosis accuracy remains an open issue …
Fault diagnosis of key components in the rotating machinery based on Fourier transform multi-filter decomposition and optimized LightGBM
C Zhang, L Kong, Q Xu, K Zhou… - … Science and Technology, 2020 - iopscience.iop.org
Rotating machinery is a primary element of mechanical equipment, and thus fault diagnosis
of its key components is very important to improve the reliability and safety of modern …
of its key components is very important to improve the reliability and safety of modern …
Convolutional neural network-based Bayesian Gaussian mixture for intelligent fault diagnosis of rotating machinery
G Li, J Wu, C Deng, Z Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Fault diagnosis is very important to ensure the efficiency and reliability of rotating machinery.
Traditional fault diagnosis methods often require manual feature design and extraction …
Traditional fault diagnosis methods often require manual feature design and extraction …
A two-stage feature selection and intelligent fault diagnosis method for rotating machinery using hybrid filter and wrapper method
X Zhang, Q Zhang, M Chen, Y Sun, X Qin, H Li - Neurocomputing, 2018 - Elsevier
Selecting the most discriminative features from the original high dimensional feature space
and finding out the optimal parameters for recognition model both have vital influences on …
and finding out the optimal parameters for recognition model both have vital influences on …
Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine
Z Su, B Tang, Z Liu, Y Qin - Neurocomputing, 2015 - Elsevier
In order to improve the accuracy of fault diagnosis, this article proposes a multi-fault
diagnosis method for rotating machinery based on orthogonal supervised linear local …
diagnosis method for rotating machinery based on orthogonal supervised linear local …
Fault diagnosis of rotating machinery with a novel statistical feature extraction and evaluation method
Fault diagnosis of rotating machinery is receiving more and more attentions. Vibration
signals of rotating machinery are commonly analyzed to extract features of faults, and the …
signals of rotating machinery are commonly analyzed to extract features of faults, and the …
A vibration analysis method based on hybrid techniques and its application to rotating machinery
L Deng, R Zhao - Measurement, 2013 - Elsevier
Vibration-based condition monitoring and fault diagnosis technique is a most effective
approach to maintain the safe and reliable operation of rotating machinery. Unfortunately …
approach to maintain the safe and reliable operation of rotating machinery. Unfortunately …
Deep residual learning-based fault diagnosis method for rotating machinery
Effective fault diagnosis of rotating machinery has always been an important issue in real
industries. In the recent years, data-driven fault diagnosis methods such as neural networks …
industries. In the recent years, data-driven fault diagnosis methods such as neural networks …
Fault diagnosis of rotating machinery based on multiple probabilistic classifiers
Intelligent fault diagnosis of rotating machinery is vital for industries to improve fault
prediction performance and reduce the maintenance cost. The new fault diagnostic …
prediction performance and reduce the maintenance cost. The new fault diagnostic …