Role of artificial intelligence in rotor fault diagnosis: A comprehensive review
Artificial intelligence (AI)-based rotor fault diagnosis (RFD) poses a variety of challenges to
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
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 …
Towards Zero Defect Manufacturing paradigm: A review of the state-of-the-art methods and open challenges
Abstract Nowadays, Internet-of-Things (IoT), big data, and cloud computing technologies
allow increasing the throughput and quality of manufacturing systems, bringing to the rise of …
allow increasing the throughput and quality of manufacturing systems, bringing to the rise of …
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 …
Convolutional neural network in intelligent fault diagnosis toward rotatory machinery
S Tang, S Yuan, Y Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
Rotating machinery is of vital importance in the field of engineering, including aviation and
navigation. Its failure will lead to severe loss to personnel safety and the stability of the …
navigation. Its failure will lead to severe loss to personnel safety and the stability of the …
[HTML][HTML] Rotating machinery fault detection and diagnosis based on deep domain adaptation: A survey
S Zhang, SU Lei, GU Jiefei, LI Ke, Z Lang… - Chinese Journal of …, 2023 - Elsevier
In practical mechanical fault detection and diagnosis, it is difficult and expensive to collect
enough large-scale supervised data to train deep networks. Transfer learning can reuse the …
enough large-scale supervised data to train deep networks. Transfer learning can reuse the …
Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging
Fault diagnosis is of great significance to ensure the reliability and safety of complex bevel
gearbox systems. Most existing intelligent fault diagnosis approaches of bevel gearboxes …
gearbox systems. Most existing intelligent fault diagnosis approaches of bevel gearboxes …
Vibration and infrared thermography based multiple fault diagnosis of bearing using deep learning
The occurrence of multiple faults is a practical problem in the bearings of rotating machines,
and early diagnosis of such issues in an intelligent manner is vital in the era of industry 4.0 …
and early diagnosis of such issues in an intelligent manner is vital in the era of industry 4.0 …
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 …
Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds
The vast majority of the existing diagnostic studies using deep learning techniques for
rotating machinery focus on the vibration analysis under steady rotating speed …
rotating machinery focus on the vibration analysis under steady rotating speed …