Teaching research on sensor diagnosis based on information Syncretic Technology
Hu Mingjiang, QI Li-qiao · 2011
The diesel engine sensor fault diagnosis teaching model was established based on the fuzzy Reasoning logic and sensor work. Fuzzy reasoning logic of the sensor malfunction diagnosis was put forward according to the sensor signal wave. Based on the different malfunction signal of the sensors, the hard malfunction, soft malfunction and the fault type of the sensors were diagnosed by information Syncretic Technology, the on-line teaching diagnostic strategy of sensors malfunction was put forward. Using the simulative teaching control equipments of the diesel engine, the malfunction tests on the hard malfunction and soft malfunction of the sensors, such as, MAP, RPS and TPS, were made by fuzzy neural network syncretic strategy, The test result showed that the sensors fault diagnosis teaching model was reasonable; the teaching diagnostic strategy had the good resolving power and could be much fitted for the sensors teaching diagnosis in the diesel engine.