A support tensor machine-based fault diagnosis method for railway turnout
Author:
Affiliation:
1. School of Electronic and Information Engineering, Tongji University,Shanghai,China
2. School of Business, Central South University,Changsha,China
3. School of Mechanical and Vehicle Engineering, Hunan University,Changsha,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10193873/10193863/10193933.pdf?arnumber=10193933
Reference32 articles.
1. An intelligent fault diagnosis method based on curve segmentation and SVM for rail transit turnout
2. Two-stage turnout fault diagnosis based on similarity function and fuzzy c-means
3. Sound Based Fault Diagnosis for RPMs Based on Multi-Scale Fractional Permutation Entropy and Two-Scale Algorithm
4. Method of speed-up turnout fault diagnosis using wavelet packet energy entropy;an;Journal of Railway Science and Engineering,2015
5. Support-vector networks
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