A theory of diagnosis from first principles
Artificial Intelligence
A spectrum of logical definitions of model-based diagnosis
Computational Intelligence
Characterizing diagnoses and systems
Artificial Intelligence
Gas-Turbine Condition Monitoring Using Qualitative Model-Based Diagnosis
IEEE Expert: Intelligent Systems and Their Applications
Hierarchical model-based diagnosis based on structural abstraction
Artificial Intelligence
An integration of FDI and DX techniques for determining the minimal diagnosis in an automatic way
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Model-aided diagnosis: an inexpensive combination of model-based and case-based condition assessment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A Semiautomatic Approach to Deriving Turbine Generator Diagnostic Knowledge
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An Integrated Diagnostic Development Process for Automotive Engine Control Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Model-based, real-time control of electrical power systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Model-Based Diagnosis of Hybrid Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An Efficient Algorithm for Finding Minimal Overconstrained Subsystems for Model-Based Diagnosis
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Model-Based Prognostic Techniques Applied to a Suspension System
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Most diagnosis systems used in electric railway traction substation are expert systems based on experience, which cannot diagnose faults beyond experience and are very difficult for transplantation and maintenance. In this paper, the model-based diagnosis (MBD) with integration reasoning is firstly used for fault diagnosis of electric railway traction substation. Aiming at the structural characteristics and actual demands of traction substation, we propose a detailed application plan. Rules for element and system models are established. In addition, we propose a relation guiding algorithm (RGA) for searching candidates of minimal conflict set, in which the hidden messages of analytical redundancy relations can be made full use of and the searching space is reduced further. Taking the autotransformer (AT) traction substation in Hefei-Nanjing Passenger Link of China Railway as an example, we construct models for different device objects, and give the descriptions of system model in traction substation. Based on a sequence of fault observations, the fault diagnosis is tested with the proposed plan. The diagnosis result shows that the application plan with MBD and integration reasoning is feasible and effective for traction substation.