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Sensors are critical for the monitoring and real-time control of fuel cell system, according to the reliability requirements of multi-sensor of 60kW automotive fuel cell system designed by our group, a two-level neural networks based fault diagnosis method is put forward in this paper. The two-level neural networks include a main net and five sub nets which(More)
In order to enhance the reliability and safety of Fuel Cell Engine(FCE),combined the composition of FCE developed by our group with the electrochemical reaction mechanism of fuel cell, the fault symptom of fuel cell stack malfunction was defined and analyzed from four aspects: hardware faults, software faults, environmental and man-made factors. Then its(More)
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