Assessment of Performance Degradation of Railway Catenary Based on IK-means and CHMM
Understanding the degradation level of railway catenary is helpful to ensure the safe operation of locomotives. In order to improve the rationality and accuracy of the traditional K-means algorithm, the density value factor was introduced to improve the precision of data clustering, which called IK-...
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| Main Author: | |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Drive for Locomotives
2021-03-01
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| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2021.02.022 |
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| Summary: | Understanding the degradation level of railway catenary is helpful to ensure the safe operation of locomotives. In order to improve the rationality and accuracy of the traditional K-means algorithm, the density value factor was introduced to improve the precision of data clustering, which called IK-means. The IK-means algorithm was used to divide high-speed railway catenary mode,which divided a railway catenary state of degradation into five types, including normal, mild degradation, moderate degradation, and severe degradation and failure state. The condition of the railway catenary degradation was assessed through CHMM. Simulation test results showed that the assessment accuracy was higher than 92.67%, which verified the reliability of the proposed method in this paper. |
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| ISSN: | 1000-128X |