Engine fuel-injection quantity abnormal fault diagnosis method based on information fusion
A fault diagnosis and engine technology, which is applied in the direction of engine testing, measuring devices, testing of machine/structural components, etc., can solve problems such as abnormal fuel injection volume and unclear cause of failure
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[0005] Specific embodiments of the present invention will be further described in detail below.
[0006] The method is composed of a data acquisition system, a fuzzy processing system, and a neural network system. The waveform eigenvalues of the fuzzy air flow sensor signal and the waveform eigenvalues of the battery voltage signal are used as the input values of the neural network system. The structural BP neural network completes the fault diagnosis of abnormal fuel injection quantity of the engine. The data acquisition system is responsible for collecting the waveform eigenvalues of the air flow sensor signal and the waveform eigenvalues of the battery voltage signal. The signal features extracted by the air flow sensor are 6, which are the voltage when the throttle is closed, the voltage when the throttle is fully open, whether the waveform changes continuously during the throttle closing-opening process, the lowest voltage of the waveform, the highest voltage of...
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