Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
J Chen, Z Li, J Pan, G Chen, Y Zi, J Yuan… - Mechanical systems and …, 2016 - Elsevier
As a significant role in industrial equipment, rotating machinery fault diagnosis (RMFD)
always draws lots of attention for guaranteeing product quality and improving economic …
always draws lots of attention for guaranteeing product quality and improving economic …
Non-invasive inspections: A review on methods and tools
M Alotaibi, B Honarvar Shakibaei Asli, M Khan - Sensors, 2021 - mdpi.com
Non-Invasive Inspection (NII) has become a fundamental tool in modern industrial
maintenance strategies. Remote and online inspection features keep operators fully aware …
maintenance strategies. Remote and online inspection features keep operators fully aware …
A method of anomaly detection and fault diagnosis with online adaptive learning under small training samples
LI Dong, LIU Shulin, H Zhang - Pattern Recognition, 2017 - Elsevier
Several methods of the modern intelligent anomaly detection and fault diagnosis have been
developed to provide more efficient solutions. However, lacking of fault samples, the training …
developed to provide more efficient solutions. However, lacking of fault samples, the training …
Rolling bearing fault diagnosis based on LCD–TEO and multifractal detrended fluctuation analysis
H Liu, X Wang, C Lu - Mechanical Systems and Signal Processing, 2015 - Elsevier
A rolling bearing vibration signal is nonlinear and non-stationary and has multiple
components and multifractal properties. A rolling-bearing fault-diagnosis method based on …
components and multifractal properties. A rolling-bearing fault-diagnosis method based on …
[HTML][HTML] Fault diagnosis of bearings based on deep separable convolutional neural network and spatial dropout
J Zhang, K Xiangwei, LI Xueyi, HU Zhiyong… - Chinese Journal of …, 2022 - Elsevier
Bearing pitting, one of the common faults in mechanical systems, is a research hotspot in
both academia and industry. Traditional fault diagnosis methods for bearings are based on …
both academia and industry. Traditional fault diagnosis methods for bearings are based on …
Research on fault diagnosis method of rolling bearing based on TCN
H Zheng, Z Wu, S Duan, Y Chen - 2021 12th International …, 2021 - ieeexplore.ieee.org
The demand for intelligent fault diagnosis algorithms has increased dramatically in the field
of aeroengines. Traditional bearing fault diagnosis algorithms mainly extract features …
of aeroengines. Traditional bearing fault diagnosis algorithms mainly extract features …
Improved Fault Diagnosis of Roller Bearings Using an Equal-Angle Integer-Period Array Convolutional Neural Network
L Li, X Yuan, F Zhang, C Chen - Electronics, 2024 - mdpi.com
This article presents a technique to carry out fault classification using an equal-angle integer-
period array convolutional neural network (EAIP-CNN) to process the electrostatic signal of …
period array convolutional neural network (EAIP-CNN) to process the electrostatic signal of …
Fault classification and diagnosis of industrial application motor drives using soft computing techniques
GS Ayyappan, K Venugopal… - … on Recent Trends …, 2019 - ieeexplore.ieee.org
Most of the modern industry drives uses an induction motor as the main drive system. The
properties like compact size, low cost, and wide range of speed control makes induction …
properties like compact size, low cost, and wide range of speed control makes induction …
A Hybrid Approach for Fault Diagnosis of Railway Rolling Bearings Using STWD‐EMD‐GA‐LSSVM
D Yao, J Yang, X Li, C Zhao - Mathematical Problems in …, 2016 - Wiley Online Library
Vibration signals resulting from railway rolling bearings are nonstationary by nature; this
paper proposes a hybrid approach for the fault diagnosis of railway rolling bearings using …
paper proposes a hybrid approach for the fault diagnosis of railway rolling bearings using …
Defect detection of helical gears based on time–frequency analysis and using multi-layer fusion network
H Ebrahimi Orimi, M Esmaeili… - Nondestructive …, 2017 - Taylor & Francis
Condition monitoring of rotary devices such as helical gears is an issue of great significance
in industrial projects. This paper introduces a feature extraction method for gear fault …
in industrial projects. This paper introduces a feature extraction method for gear fault …