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 …
Compound fault diagnosis of rotating machinery based on OVMD and a 1.5-dimension envelope spectrum
X Yan, M Jia, L Xiang - Measurement Science and Technology, 2016 - iopscience.iop.org
Owing to the character of diversity and complexity, the compound fault diagnosis of rotating
machinery under non-stationary operation has turned into a challenging task. In this paper, a …
machinery under non-stationary operation has turned into a challenging task. In this paper, a …
A two-stage fault diagnosis methodology for rotating machinery combining optimized support vector data description and optimized support vector machine
J Zhang, Q Zhang, X Qin, Y Sun - Measurement, 2022 - Elsevier
Most intelligent fault diagnosis methods of rotating machinery generally consider that normal
samples and fault samples as equally important for pattern recognition training. It ignores …
samples and fault samples as equally important for pattern recognition training. It ignores …
Machinery fault diagnosis scheme using redefined dimensionless indicators and mRMR feature selection
Q Hu, XS Si, AS Qin, YR Lv, QH Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Machinery fault diagnosis methods based on dimensionless indicators have long been
studied. However, traditional dimensionless indicators usually suffer a low diagnostic …
studied. However, traditional dimensionless indicators usually suffer a low diagnostic …
Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis
When an abnormal situation occurs in rotating machinery, fault feature information may be
scattered on multiple sensors, and fault feature extraction through a single sensor is not …
scattered on multiple sensors, and fault feature extraction through a single sensor is not …
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 …
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 …
Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation
Intelligent machinery fault diagnosis system has been receiving increasing attention recently
due to the potential large benefits of maintenance cost reduction, enhanced operation safety …
due to the potential large benefits of maintenance cost reduction, enhanced operation safety …
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
Aiming to promptly process the massive fault data and automatically provide accurate
diagnosis results, numerous studies have been conducted on intelligent fault diagnosis of …
diagnosis results, numerous studies have been conducted on intelligent fault diagnosis of …
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