Empirical Study on Robustness of Machine Learning Approaches for Fault Diagnosis under Railway Operational Conditions.
Dachuan ShiYunguang YeMarco GillwaldMarkus HechtPublished in: ITSC (2020)
Keyphrases
- fault diagnosis
- empirical studies
- machine learning approaches
- operating conditions
- neural network
- fault detection
- machine learning algorithms
- empirical analysis
- machine learning methods
- expert systems
- chemical process
- fault detection and diagnosis
- gas turbine
- rbf neural network
- machine learning
- rotating machinery
- analog circuits
- bp neural network
- multiple faults
- electronic equipment
- fuzzy logic
- power transformers
- fault identification
- bp algorithm
- condition monitoring
- data mining methods
- failure diagnosis
- decision making
- fault detection and isolation
- real time
- power plant
- preprocessing
- fault tree