| Fault Detection, Isolation and Identification Model-based methods: observers, parity relations and identification |
| Statistical approaches Fault modelling Signal analysis Design measures for robustness |
| Pattern recognition Computational Intelligence in Fault Diagnosis Expert systems |
| Fuzzy logic and rough sets Artificial neural networks Neuro-fuzzy approaches |
| Qualitative reasoning Design for Reliability and Safety Reliability and safety analysis |
| Probabilistic safety assessment Testing and evaluation of safety systems Safety standards and qualification |
| Safety evaluation tools Fault Tolerant Systems Design Fault prediction Fault tolerant and fail-safe control |
| Design measures for fault tolerance Reconfigurable and scalable control systems |
| Maintenance and Repair Maintenance and repair strategies Predictive maintenance |
| Operator support information systems Life-cycle considerations Human Factors |
| Human factors in automation Human reliability analysis Support for systems operation and decision making |
| Industrial safety management and safety culture Economic, environmental and ecological aspects of fault diagnosis |
| Industrial Applications and Case Studies Electrical, mechanical and electronic systems |
| Chemical and biomedical processes Transportation, traffic and automotive systems |
| Power systems Marine systems Aeronautics and aerospace Evaluation of benchmark problems |
| Fault Detection, Isolation and Identification Model-based methods: observers, parity relations and identification |
| Statistical approaches Fault modelling Signal analysis Design measures for robustness |
| Pattern recognition Computational Intelligence in Fault Diagnosis Expert systems |
図書
