Development of a generic rotating machinery fault diagnosis approach insensitive to machine speed and support type

AD Nembhard, JK Sinha, A Yunusa-Kaltungo - Journal of Sound and …, 2015 - Elsevier
… domain vibration features for the diagnosis of rotating machinery faults including rotor
crack. … is incapable of collecting data requisite for accurate fault diagnosis, and as such, “multiple …

Rotating machinery fault diagnosis using signal-adapted lifting scheme

Z Li, Z He, Y Zi, H Jiang - Mechanical Systems and Signal Processing, 2008 - Elsevier
… Wavelet transform has been widely used for vibration-based machine fault diagnosis. However…
In this paper, a new signal-adapted lifting scheme for rotating machinery fault diagnosis is …

Research on sparsity indexes for fault diagnosis of rotating machinery

Y Miao, M Zhao, J Hua - Measurement, 2020 - Elsevier
… measures for fault diagnostic of rotating machinery. The … machinery fault signals. Three
vital characteristics, including data-length independence, random-impulse resistance, and fault-…

Rotating machinery fault diagnosis for imbalanced data based on fast clustering algorithm and support vector machine

X Zhang, D Jiang, T Han, N Wang, W Yang… - Journal of …, 2017 - Wiley Online Library
… To diagnose the rotating machinery fault for imbalanced data, a kind of data-based approach
was … Therefore, our approach was suitable to the rotating machinery fault diagnosis for …

Unsupervised rotating machinery fault diagnosis method based on integrated SAE–DBN and a binary processor

J Li, X Li, D He, Y Qu - Journal of Intelligent Manufacturing, 2020 - Springer
Rotating machinery are the most common devices… Fault diagnosis of rotating machinery
has received much attention. Diagnostic methods for rotating machinery can be roughly divided …

Using bispectral distribution as a feature for rotating machinery fault diagnosis

L Jiang, Y Liu, X Li, S Tang - Measurement, 2011 - Elsevier
… The vibration signals of rotating machinery present a strongly … A bispectral distribution for
machinery fault diagnosis is … to achieve pattern recognition and fault diagnosis. The computing …

[PDF][PDF] Application of wavelet transform for fault diagnosis in rotating machinery

H Bendjama, S Bouhouche… - International Journal of …, 2012 - academia.edu
… The measurement of vibration applied to condition monitoring and fault diagnosis requires
different … of rotating machinery. It consists of two gears 1 and 2 (1 with 60 teeth and the other …

Multisignal VGG19 network with transposed convolution for rotating machinery fault diagnosis based on deep transfer learning

J Zhou, X Yang, L Zhang, S Shao… - Shock and Vibration, 2020 - Wiley Online Library
… to realize the rapid diagnosis of rotating machinery faults by designing the corresponding …
In Section 3, the overall mechanical fault diagnosis system is illustrated in detail. In Section 4…

Decision tree and PCA-based fault diagnosis of rotating machinery

W Sun, J Chen, J Li - Mechanical systems and signal processing, 2007 - Elsevier
… to obtain fault patterns to diagnoserotating machinery fault diagnosis. Therefore, the decision
tree algorithm C4.5 is employed in this paper to make fault diagnosis of rotating machinery

Dual-threshold attention-guided GAN and limited infrared thermal images for rotating machinery fault diagnosis under speed fluctuation

H Shao, W Li, B Cai, J Wan, Y Xiao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
… images to realize the fault diagnosis of bearings. However, … images in the field of machinery
fault diagnosis is still in its … ) is proposed for rotating machinery fault diagnosis under limited …