Prior LDA and SVM based Fault Diagnosis of Vehicle On-board Equipment for High Speed Railway

Abstract

With the accumulation of maintenance data from the operation of vehicle on-board equipment (VOBE), it plays an important role in fault diagnosis and prognosis. However, natural language in maintenance data is a big challenge... [ view full abstract ]

Authors

  1. Feng Wang (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University)
  2. Tianhua Xu (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University)
  3. Yang Zhao (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University)
  4. Yeran Huang (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University)

Topic Areas

Data Mining and Data Analysis , Transportation Security

Session

We-B6 » Data Mining and Data Analysis III (13:40 - Wednesday, 16th September, Fuerteventura)