A sensor fusion based approach for bearing fault diagnosis of rotating machine
Fault diagnosis in rotating machines plays a vital role in various industries. Bearing is the
essential element of rotating machines, and early fault detection can reduce the …
essential element of rotating machines, and early fault detection can reduce the …
Feature denoising and nearest–farthest distance preserving projection for machine fault diagnosis
It is a big challenge to identify the most effective features for enhancement of fault
classification accuracy in rotating machines due to nonstationary and nonlinear vibration …
classification accuracy in rotating machines due to nonstationary and nonlinear vibration …
A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying‐Speed Conditions Using Infrared Thermography
Y Li, X Wang, S Si, X Du - Complexity, 2019 - Wiley Online Library
A novel systematic framework, infrared thermography‐(IRT‐) based method, for rotating
machinery fault diagnosis under nonstationary running conditions is presented in this paper …
machinery fault diagnosis under nonstationary running conditions is presented in this paper …
A novel intelligent fault diagnosis method of rotating machinery based on signal-to-image mapping and deep Gabor convolutional adaptive pooling network
W Li, Z Shang, S Qian, B Zhang, J Zhang… - Expert Systems with …, 2022 - Elsevier
To address the limitations of insufficient feature representation and easy to be overwhelmed
by strong noise in the grayscale images of vibration signals, the random generation and …
by strong noise in the grayscale images of vibration signals, the random generation and …
Fault diagnosis of rotating machinery based on deep reinforcement learning and reciprocal of smoothness index
Rotating machinery are widely used in industry, and vibration analysis is one of the most
common methods to monitor health condition of rotating machinery. However, due to the …
common methods to monitor health condition of rotating machinery. However, due to the …
Comparison of four direct classification methods for intelligent fault diagnosis of rotating machinery
D Dou, S Zhou - Applied Soft Computing, 2016 - Elsevier
Condition monitoring of rotating machinery is important to promptly detect early faults,
identify potential problems, and prevent complete failure. Four direct classification methods …
identify potential problems, and prevent complete failure. Four direct classification methods …
A hybrid fault diagnosis approach based on mixed-domain state features for rotating machinery
X Xue, J Zhou - ISA transactions, 2017 - Elsevier
To make further improvement in the diagnosis accuracy and efficiency, a mixed-domain
state features data based hybrid fault diagnosis approach, which systematically blends both …
state features data based hybrid fault diagnosis approach, which systematically blends both …
Feature extraction using adaptive multiwavelets and synthetic detection index for rotor fault diagnosis of rotating machinery
N Lu, Z Xiao, OP Malik - Mechanical Systems and Signal Processing, 2015 - Elsevier
State identification to diagnose the condition of rotating machinery is often converted to a
classification problem of values of non-dimensional symptom parameters (NSPs). To …
classification problem of values of non-dimensional symptom parameters (NSPs). To …
Data preprocessing techniques in convolutional neural network based on fault diagnosis towards rotating machinery
S Tang, S Yuan, Y Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
Rotating machinery plays a critical role in many significant fields. However, the
unpredictable machinery faults may lead to the severe damage and losses. Hence, it is of …
unpredictable machinery faults may lead to the severe damage and losses. Hence, it is of …
Fault diagnosis approach for rotating machinery based on dynamic model and computational intelligence
J Zhang, W Ma, J Lin, L Ma, X Jia - Measurement, 2015 - Elsevier
In order to achieve accurate diagnosis for rotating machinery automatically and considering
that test data under actual fault conditions are rather difficult to obtain, a novel fault diagnosis …
that test data under actual fault conditions are rather difficult to obtain, a novel fault diagnosis …