Fault Knowledge Acquisition of Electronic Equipment

Feng Hua Zou; Hong Zhang; Lu Wang; Dan Li

doi:10.4028/www.scientific.net/AMM.397-400.1145

Paper Titles

Research on Re-Use Reverse Logistics Network of Disused Electric Appliances Based on Election Campaign Algorithm
p.1121

Optimal Design of CNC Crushing Machine Steady Based on Genetic Algorithm
p.1129

Study on Common Fault of Wind Turbine
p.1133

Application of an Improved Internal Model Controller Based on the Particle Swarm Optimization in Network Control System
p.1137

Fault Knowledge Acquisition of Electronic Equipment
p.1145

A Nearly Optimal Peak Reduction Tone Set Selection Algorithm
p.1148

Adaptive Sliding Mode Control of the Linear Drive System
p.1155

Adaptive Control for Aircraft Anti-Skid Braking System
p.1160

Research on Intelligent Control System of High Speed and High Precision Filling Disc Machine
p.1164

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400Fault Knowledge Acquisition of Electronic...

Fault Knowledge Acquisition of Electronic Equipment

Abstract:

The difficulties of acquiring fault knowledge severely handicap the development of intelligent diagnosis system (IDS) of military electronic equipment (MEE) in our country.For MEE fault diagnosis of fault original data collection difficult situation, a new method is presented,Which auto-acquires fault knowledge by simulating all possible faults of equipment.The approach presented in this paper makes the work of KA engineer easier, and makes fast diagnosis fault location and fault reasons possible.