Because the injector works in the high-temperature and high-pressure environment inside the cylinder, faults occur frequently such as nozzle clogging, solenoid valve failure, needle valve stuck, etc. The diesel injector is a key component of the diesel engine, and its working state will directly affect the operating power of the diesel engine. The proposed method appears, based on the numerical examples, to be better from both a computational and classification accuracy point of view.Īs an important power machinery in production and life, high-pressure common rail diesel engine plays an indispensable role in various industries, and the normal operation of diesel engine is a solid guarantee for our rich life. Finally, using the engineering test data, the method is compared with other methods.
Then, a fault diagnosis scheme for high-pressure common rail injector based on IFOA-VMD and HDE is proposed.
In addition, based on the analytic hierarchy process and dispersion entropy, hierarchical dispersion entropy is proposed to obtain a comprehensive and accurate complexity estimation of time series. The variational mode decomposition method of the algorithm, with the energy growth factor e as the objective function, can adaptively decompose the multi-component signal into superimposed sub-signals. In order to overcome this shortcoming, this paper proposes an improved fruit fly search. The biggest difficulty in VMD decomposition is the need to manually set the internal combination parameters K and α. Firstly, this paper chooses VMD to adaptively decompose the common rail fuel pressure wave. Therefore, this paper studies the high-precision fault diagnosis method for injectors. The normal operation of high-pressure common rail injector is one of the important prerequisites for the healthy and reliable operation of diesel engines.
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