Fault Diagnosis Based on Agent Simulation of System Components

The characteristics of complex systems such as randomness, and time-varying parameters make it difficult for traditional reliability analysis methods to meet the reliability requirements of complex systems. As a key link of fault prediction and health management technology, fault diagnosis plays a significant role in equipment support. This paper studies the problem of fault diagnosis, uses Agent-based simulation methods to simulate system components, builds a fault propagation model, locates high-risk sources, and traces high-frequency faulty components from system faults. And take the fault diagnosis of the ship's lubricating oil system as an example to carry out simulation experiments to verify the feasibility of the model.