An active approach for detection of incipient faults

Abstract

The methodology of auxiliary signal design for robust fault detection based on a multi-model (MM) formulation of normal and faulty systems is used to study the problem of incipient fault detection. The fault is modelled as a drift in a system parameter, and an auxiliary signal is to be designed to enhance the detection of variations in this parameter. It is shown that it is possible to consider the model of the system with a drifted parameter as a second model and use the MM framework for designing the auxiliary signal by considering the limiting case as the parameter variation goes to zero. The result can be applied very effectively to many early detection problems where small parameter variations should be detected. Two different approaches for computing the test signal are given and compared on several computational examples.

Keywords:

• incipient fault detection
• fault detection
• auxiliary signal design
• identification

Acknowledgements

Research of S.L. Campell is supported in part by NSF Grants DMS-0404842 and ECS-0620986. Research of K. Drake is supported in part by DARPA DSO-U368 and the Office of Naval Research ILIR Program.