Probabilistic and Statistical Methods for Identifying Defects in Diesel Fuel Equipment Using Vibroacoustic Spectra

Abstract

The article deals with the practical results of technical diagnostics of diesel fuel equipment using vibroacoustic characteristics. The authors used given diagnostic matrix, Bayesian methods and sequential analysis to calculate the effect of reducing the elasticity of the injector spring on the performance of the fuel injector and the connection of the diagnosis “increased injector spring tension” with the sign “high amplitude at a frequency of 115 Hz”.