![]() ![]() Keywords: variational modal decomposition, cross wavelet transform, feature extraction, fault diagnosis, diesel engine. The effectiveness of the proposed method is verified by simulation and experiment. This guide documents the user interfaces displaying and grapically manipulating molecules, and describes how to use the scripting interfaces for analysis and to customize the behavior of VMD. Finally, the misfire fault of diesel engine is diagnosed by calculating the energy proportion of each cylinder in time-frequency space. The VMD Users Guide describes how to run and use the molecular visualization and analysis program VMD. Next, XWT is used to analyze the time-frequency correlation of any two continuous working cycle signals, and the non-periodic components and random noise in the vibration signals are further eliminated to extract the combustion characteristics of diesel engines. ![]() ![]() Then the vibration signal of cylinder head is decomposed by VMD to denoise adaptively and reconstruct the signal. VMD supports computers running MacOS X, Unix, or Windows, is distributed free of charge, and includes source code. Firstly, the vibration signal of cylinder head is processed by stages according to the working cycle of diesel engine, and then the vibration signal of each working cycle is re-sampled according to the same angle. VMD is a molecular visualization program for displaying, animating, and analyzing large biomolecular systems using 3-D graphics and built-in scripting. Abstract : For diesel engine misfire fault diagnosis under strong noise, a new method based on variational mode decomposition (VMD) and cross wavelet transform (XWT) is proposed. ![]()
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