VIBRATION MONITORING OF INTERNAL COMBUSTION ENGINE

The work is devoted to the problem of diagnosing automobile internal combustion engines.The controlling condition engines now most relevantbecause increasing number cars and tightening environmental requirements. paperconsiders consequences a faulty engine. aim todevelop method that can help detect fault accurately quickly. With advent ofmodern technologies long known estimationby sound become advanced, as human factor excluded, for signal processingthe computer techniques spectrum analysis which carried out by means ofartificial neural networks are applied. application artificial analyzingthe has found in speech recognition respiratorydiseases. In article mechanisms capable generate signals during internalcombustion engine considered, some them phased i.e. connected workingstrokes, not phased. proposed diagnostics allows selecting"useful" sounds from total noises and, after comparative analysis, pointingto node whose differs reference, serviceable one. Scientific novelty lies factthat diagnostic process becomes automated, all recorded sensors processedin or special scanner, display shows information about certainnodes, contrast traditional methods where diagnosis visually ear. Thisincreases accuracy reduces overall labor intensity eliminating partial completeengine disassembly