Machine learning techniques for multi-fault analysis and detection on a rotating test rig using vibration signal
Machine health monitoring of rotating mechanical systems is an important task in
manufacturing engineering. In this paper, a system for analyzing and detecting mounting …
manufacturing engineering. In this paper, a system for analyzing and detecting mounting …
Adaptive fault diagnosis in rotating machines using indicators selection
Over the past two decades, condition monitoring and faults diagnosis in rotating machinery
have been widely studied and reported. In the present paper an algorithm for fault diagnosis …
have been widely studied and reported. In the present paper an algorithm for fault diagnosis …
Fault diagnosis for rotating machinery based on convolutional neural network and empirical mode decomposition
Y Xie, T Zhang - Shock and Vibration, 2017 - Wiley Online Library
The analysis of vibration signals has been a very important technique for fault diagnosis and
health management of rotating machinery. Classic fault diagnosis methods are mainly …
health management of rotating machinery. Classic fault diagnosis methods are mainly …
A data mining approach for fault diagnosis: An application of anomaly detection algorithm
Rolling-element bearing failures are the most frequent problems in rotating machinery,
which can be catastrophic and cause major downtime. Hence, providing advance failure …
which can be catastrophic and cause major downtime. Hence, providing advance failure …
Integrated fault detection framework for classifying rotating machine faults using frequency domain data fusion and artificial neural networks
The availability of complex rotating machines is vital for the prevention of catastrophic
failures in a significant number of industrial operations. Reliability engineering theories …
failures in a significant number of industrial operations. Reliability engineering theories …
Intelligent diagnosis of rotating machinery faults-a review
H Yang, J Mathew, L Ma - Proceedings of the 3rd Asia-Pacific …, 2002 - eprints.qut.edu.au
The task of condition monitoring and fault diagnosis of rotating machinery faults is both
significant and important but is often cumbersome and labour intensive. Automating the …
significant and important but is often cumbersome and labour intensive. Automating the …
An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies
Y Wang, J Zhou, L Zheng, C Gogu - Journal of Intelligent Manufacturing, 2022 - Springer
The fault diagnostics of rotating components are crucial for most mechanical systems since
the rotating components faults are the main form of failures of many mechanical systems. In …
the rotating components faults are the main form of failures of many mechanical systems. In …
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 …
Statistical spectral analysis for fault diagnosis of rotating machines
Condition-based monitoring of rotating machines requires robust features for accurate fault
diagnosis, which is indeed directly linked to the quality of the features extracted from the …
diagnosis, which is indeed directly linked to the quality of the features extracted from the …
A review on deep learning based condition monitoring and fault diagnosis of rotating machinery
Rotating machine faults are unavoidable; thus, early diagnosis is essential to avoid further
damage to the machine or other machine attached to it. Various signal analysis based …
damage to the machine or other machine attached to it. Various signal analysis based …