Fault Detection for Suspension System of Maglev Trains Based on Historical Health Data.
Xu ZhouPing WangZhiqiang LongPublished in: IEEE Access (2020)
Keyphrases
- fault detection
- health data
- health care
- fault diagnosis
- industrial processes
- electronic health records
- fault identification
- failure detection
- fault detection and diagnosis
- tennessee eastman
- historical data
- temporal databases
- robust fault detection
- power plant
- fuel cell
- information systems
- databases
- patient care
- decision support system
- data warehouse