Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes
Joint Authors
Sanchez, René-Vinicio
Monteiro, Rodrigo P.
Cerrada, Mariela
Cabrera, Diego R.
Bastos-Filho, Carmelo J. A.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Gearboxes are mechanical devices that play an essential role in several applications, e.g., the transmission of automotive vehicles.
Their malfunctioning may result in economic losses and accidents, among others.
The rise of powerful graphical processing units spreads the use of deep learning-based solutions to many problems, which includes the fault diagnosis on gearboxes.
Those solutions usually require a significant amount of data, high computational power, and a long training process.
The training of deep learning-based systems may not be feasible when GPUs are not available.
This paper proposes a solution to reduce the training time of deep learning-based fault diagnosis systems without compromising their accuracy.
The solution is based on the use of a decision stage to interpret all the probability outputs of a classifier whose output layer has the softmax activation function.
Two classification algorithms were applied to perform the decision.
We have reduced the training time by almost 80% without compromising the average accuracy of the fault diagnosis system.
American Psychological Association (APA)
Monteiro, Rodrigo P.& Cerrada, Mariela& Cabrera, Diego R.& Sanchez, René-Vinicio& Bastos-Filho, Carmelo J. A.. 2019. Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129325
Modern Language Association (MLA)
Monteiro, Rodrigo P.…[et al.]. Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1129325
American Medical Association (AMA)
Monteiro, Rodrigo P.& Cerrada, Mariela& Cabrera, Diego R.& Sanchez, René-Vinicio& Bastos-Filho, Carmelo J. A.. Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129325
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129325