Abstract
Objective: To analyze application possibilities of a linear classifier for identification of a diesel’s technical state by the crankshaft instantaneous speed signal. Methods: SVM linear classifier is used for identification of the current diesel technical state class by means of a pulse rate-of-turntransducer stress scanning image autocorrelation matrix of the diesel crankshaft. In order to provide the possibility of a visual display of results matrix dimensions were reduced to 22, informative parameters selection as well as classification quality control were carried out by means of 5-fold cross check (cross-validation). Results: 16ChN26/26 (1-8DG) diesel locomotive engine is the object of research. The former is operating in modes 350, 770 and 845 r/min both with all cylinder barrels functioning and with dead 5-m and 8-m right cylinder barrels. It was established that the application of a linear classifier synthesized by means of the support vector machine, makes it possible to detect single failures within the accuracy up to 100 % and multiple failures within the accuracy of 75–100 %. Practical importance: The described method for determination of the diesel locomotive engine technical state can be applied for diesel-powered locomotives in use to reduce the expenses on diesel engine repair.
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