SHI Hua, BI Yue-kuan. A Train Fault Diagnosis System Based on C-Means Clustering[J]. Electric Drive for Locomotives, 2014,(1):94-96. DOI: 10.13890/j.issn.1000-128x.2014.01.025.
Network topological structure of DEMUs with two motor cars and one trailer, fault diagnosis system, fault classification andfault identification by C-Means Clustering Algorithm were introduced. The fault diagnosis system collected and processed information, then,according to the clustering core and the data sample, it produced the sum of square clustering criteria, last, it made decision analysis and outputdiagnostic results. Human machine interface could show the DEMUs fault and record it in files. The fault diagnosis system improved thereliability of the DEMUs and reduced the work of maintenance staff, promoting the train long-term stable running.
关键词
故障分类诊断C- 均值聚类网络拓扑内燃电传动内燃动车组
Keywords
fault classificationdiagnosisC-Means Clustering Algorithmnetwork topologydiesel electric driveDEMU