A rotating machinery fault diagnosis method based on feature learning of thermal images
The rotating machinery plays a vital role in industrial systems, in which unexpected
mechanical faults during operation can lead to severe consequences. For fault prevention …
mechanical faults during operation can lead to severe consequences. For fault prevention …
[HTML][HTML] Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging
LI Yongbo, DU Xiaoqiang, WAN Fangyi… - Chinese Journal of …, 2020 - Elsevier
Rotating machinery is widely applied in industrial applications. Fault diagnosis of rotating
machinery is vital in manufacturing system, which can prevent catastrophic failure and …
machinery is vital in manufacturing system, which can prevent catastrophic failure and …
Intelligent fault diagnosis of rotor-bearing system under varying working conditions with modified transfer convolutional neural network and thermal images
The existing intelligent fault diagnosis methods of rotor-bearing system mainly focus on
vibration analysis under steady operation, which has low adaptability to new scenes. In this …
vibration analysis under steady operation, which has low adaptability to new scenes. In this …
A visual vibration characterization method for intelligent fault diagnosis of rotating machinery
C Peng, H Gao, X Liu, B Liu - Mechanical Systems and Signal Processing, 2023 - Elsevier
Health monitoring and fault diagnosis are the keys to ensuring equipment safe operation.
This work proposes a novel fault diagnosis method based on visual extraction and vibration …
This work proposes a novel fault diagnosis method based on visual extraction and vibration …
Passive thermography based bearing fault diagnosis using transfer learning with varying working conditions
Bearing is one of the core components of any rotating machine, and its failure is widespread.
This reason drives continuous monitoring and detecting bearing faults during machine …
This reason drives continuous monitoring and detecting bearing faults during machine …
An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE
Despite deep learning models can largely release the pressure of manual feature
engineering in intelligent fault diagnosis of rotor-bearing systems, their performance mostly …
engineering in intelligent fault diagnosis of rotor-bearing systems, their performance mostly …
Rolling bearing fault diagnosis based on convolutional neural network and support vector machine
L Yuan, D Lian, X Kang, Y Chen, K Zhai - IEEE Access, 2020 - ieeexplore.ieee.org
Rolling bearings are one of the essential components in rotating machinery. Efficient
bearing fault diagnosis is necessary to ensure the regular operation of the mechanical …
bearing fault diagnosis is necessary to ensure the regular operation of the mechanical …
A new fault diagnosis of rolling bearing based on Markov transition field and CNN
The rolling bearing is a crucial component of the rotating machine, and it is particularly vital
to ensure its normal operation. In addition, the selection of different category features will …
to ensure its normal operation. In addition, the selection of different category features will …
Rotating machinery fault diagnosis through a transformer convolution network subjected to transfer learning
X Pei, X Zheng, J Wu - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Owing to complex operational and measurement conditions, the data available to realize the
effective training of deep models are often inadequate. Compared with traditional deep …
effective training of deep models are often inadequate. Compared with traditional deep …
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 …