Embedded fault diagnosis expert system based on CLIPS and ANN
Xiaohong Pan · 2007
Embedded fault diagnosis technology requires high pertinency,small storage space,good configuration ability and real-time performance.Traditional fault diagnosis needs large quantity data source support,that can not satisfy the demand above.Aiming at this problem,a kind of embedded fault diagnosis expert system(E-FDES) based on the C language integration product system(CLIPS) and artificial neural network(ANN) technology was brought forward.FDES and its relative technology was discussed,the developing environment and design tool chain for E-FDES was established in Linux environment.Using modularization theory principle,system reconfiguration and expansion ability were ensured,and the data process components and graphic user interface components could be reduced according to special demand to meet the embedded system running requirement at the same time.By the application program interface of CLIPS,knowledge base and rule base were realized, that decreased the developing time of system inference engine and reduced source occupation space effectively.Industry application instance proves that this system runs stably in ARM-Linux embedded environment,switch smoothly and can recognize some common faults for the devices monitored.