Method for diagnosing faults of diesel engine based on instant rotary speed clustering analysis

Abstract

The invention provides a method for diagnosing faults of a diesel engine based on instant rotary speed clustering analysis. Instant rotary speed signals in the process of diesel engine operation are collected, the collected signals are filtered, noise interference is eliminated, main shaft instant rotary speed data are resolved according to a top dead center signal and a firing order of air cylinders, and the instant rotary speed information corresponding to each air cylinder is obtained; time domain analysis and frequency domain analysis are conducted on the processed signals, time domain features and frequency domain features of the instant rotary speed signals are obtained, and therefore a two-dimensional array is formed; clustering analysis is conducted through the random restarting K-means algorithm, the performance states of the air cylinders of the multi-cylinder diesel engine are horizontally compared, the different classification number K is set, clustering is conducted repeatedly, and the most significant clustering result is selected to serve as a final diagnosis result, so that the faulted air cylinder is diagnosed. When the random restarting K-means algorithm is used for clustering, a large number of experiential parameters do not need to be set and influence caused by the experiment parameters on the clustering result is avoided; the faulted air cylinder can be rapidly and accurately positioned.

Description

technical field [0001] The invention relates to a diesel engine fault diagnosis method, in particular, a diesel engine fault diagnosis method based on cluster analysis of instantaneous rotational speed. Background technique [0002] Diesel engines play an important role in different fields. Once a diesel engine fails, it will cause huge economic losses and even endanger the personal safety of the staff. Timely, convenient and accurate diagnosis of abnormal state of diesel engine is an objective requirement of actual production. Among the various signals used for diesel engine fault diagnosis, the instantaneous speed signal has been widely used due to its simplicity, accuracy, and correspondence between the waveform and the cylinder. The single cylinder oil leakage and valve leakage can be effectively diagnosed through the instantaneous speed signal. Gas, single cylinder stop ignition and other faults. [0003] For a long time, the diagnostic methods based on instantaneous ...

AI Technical Summary

Problems solved by technology

Its disadvantages are: when this method uses swarm intelligence clustering algorithm to cluster the instantaneous speed, the setting of a large number of empirical parameters affects the clustering accuracy, and when judging the object type, the agent needs to perform a large number of tentative actions. Complicated, slow convergence, low efficiency

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