A Framework for Final Drive Simultaneous Failure Diagnosis Based on Fuzzy Entropy and Sparse Bayesian Extreme Learning Machine
Joint Authors
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This research proposes a novel framework of final drive simultaneous failure diagnosis containing feature extraction, training paired diagnostic models, generating decision threshold, and recognizing simultaneous failure modes.
In feature extraction module, adopt wavelet package transform and fuzzy entropy to reduce noise interference and extract representative features of failure mode.
Use single failure sample to construct probability classifiers based on paired sparse Bayesian extreme learning machine which is trained only by single failure modes and have high generalization and sparsity of sparse Bayesian learning approach.
To generate optimal decision threshold which can convert probability output obtained from classifiers into final simultaneous failure modes, this research proposes using samples containing both single and simultaneous failure modes and Grid search method which is superior to traditional techniques in global optimization.
Compared with other frequently used diagnostic approaches based on support vector machine and probability neural networks, experiment results based on F 1 -measure value verify that the diagnostic accuracy and efficiency of the proposed framework which are crucial for simultaneous failure diagnosis are superior to the existing approach.
American Psychological Association (APA)
Ye, Qing& Pan, Hao& Liu, Changhua. 2015. A Framework for Final Drive Simultaneous Failure Diagnosis Based on Fuzzy Entropy and Sparse Bayesian Extreme Learning Machine. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057699
Modern Language Association (MLA)
Ye, Qing…[et al.]. A Framework for Final Drive Simultaneous Failure Diagnosis Based on Fuzzy Entropy and Sparse Bayesian Extreme Learning Machine. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057699
American Medical Association (AMA)
Ye, Qing& Pan, Hao& Liu, Changhua. A Framework for Final Drive Simultaneous Failure Diagnosis Based on Fuzzy Entropy and Sparse Bayesian Extreme Learning Machine. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057699
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057699