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EN
This article describes the methodology of creating algorithms and diagnostic programs. Still in the construction of such algorithms and diagnostic creating programs mostly is used classical approach, the methodological basis can be reduced to the several basic tasks. One of them is the proper selection and minimization of diagnostic parameters. The article shows the importance of proper selection and minimization of diagnostic parameters on the example of the diagnostics of the injection system of a marine diesel engine. It was indicated to practical usefulness for this purpose calculated the values sensitivity of a given parameter. The stronger the diagnostic parameter responds to a change in the structural parameter, the greater its diagnostic sensitivity is and thus the early development of a given fault can be detected based on deviation analysis of this parameter from its reference value. Based on experimental data, FIS (Fault Isolation System) matrix was built after selecting and minimizing diagnostic parameters. Triple-valued evaluation of residues (–1, 0, +1) was used. The research was carried out on a real object – a four-stroke, mediumspeed marine engine from Sulzer. The impact of selected fault in the injection system on the diagnostic parameters was researched and a FIS (Fault Isolation System) matrix was built on this basis.
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