论文信息 - Analytical Redundancy Techniques for Fault Detection in an Active Heavy Vehicle Suspension

Analytical Redundancy Techniques for Fault Detection in an Active Heavy Vehicle Suspension

This paper describes the design and implementation of an intelligent fault monitoring system for a prototype heavy vehicle active suspension system. A controller architecture has been designed, to facilitate safe start up and shutdown of the active control. This paper develops a method for monitoring the complete system, by dividing it into submodels which are more straightforward to analyse. The aim is to define a practical method for detecting faults, taking into account the nonlinearities in the real vehicle.

David Cebon | B P Jeppesen

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