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.