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The article provides the rationale for, and describes a new internal combustion engine (ICE) diagnosing method, which involves obtaining a signal within the audio frequency range and its examination together with engine performance through the use of algorithms of high resolution time-and-frequency analysis and techniques involving partial signal reconstruction in the phase space. Examples of how the method may be applied to reveal defects and faults of various units and systems are also described in the article. The paper shows that the method may also be used for other assemblies and units of cars (apart from engines) to analyze patterns for periodic wave structures.

The paper considers the problem of how to improve the economic efficiency of gasoline-powered internal combustion (IC) engines and at the same time increase their eco-friendliness and reduce emissions. Current industry thinking is that the use of alternative fuels (e.g. liquefied petroleum gas (LPG), which is widely used) helps reduce emissions of harmful substances in exhaust gases, but causes a reduction in engine power and torque. One of the ways to fix this problem is to add gasoline to the LPG, while current approaches to this problem improve either ecological performance or power readings of engines. It is assumed that one can change the fuel burning velocity and the amount of harmful substances in exhaust gases by adding gasoline to LPG and varying their percentage fuel mixture (called binary), thus providing higher ecological and operating performance of IC engines.