Techniques of fault self-diagnosis for intelligent detection system

Abstract

People researched fault selfdiagnosis for IDS (Intelligent Detection System) in order to monitor IDS efiiciently, ensure IDS work normally, improve its reliability and precision. The Principle of IDS is camera theory: applying a serial of excitation signal on fhe object, detecting corresponding response, and then analydng and deducing whether the object get out of order. We realize fault selfdiagnosis with internal microcomputer or microprocessor, fault diagnosis circuit and software. There are concretely two methods: redundancy technique, try to discover and avert from the influence of any fault when it generates; or detect and diagnose fault and clear it in time. According to the typical fmm OT IDS Structure, this paper thoroughly studies the methods and techniques for faults selfdiagnosis in each subsystem of the IDS. It also put forward the algorithm and flows for staring, keying, and period self- diagnosis. Strong application value showed in practice.