Signal processing algorithms for multichannel integrated engines complex diagnostics for automobiles and tractors

Introduction (problem statement and relevance). The technical state of machines undergoes changes during their life cycle. The qualitative determination of the technical condition of components, assemblies and systems of engines requires not only the application of modern control methods that provide reliable results, but also the use of high-performance specialized diagnostic equipment for the timely detection of faults to increase the reliability and service life of machines.

The purpose of the study was to substantiate the architecture of an integrated system of vibroacoustic and thermal diagnostics, which would make it possible to assess the residual life of systems, assemblies and mechanisms of diesel engines in real time.

Methodology and research methods. The modern methods of collection and computer processing of signals from various types of sensors, as well as wavelet functions and digital image processing were used in the study.

Scientifi c novelty and results. Algorithms for calculating and processing the analytical ensemble (including scaleograms and histograms) of the data fl ow have been developed and used in an integrated system of complex diagnostics to identify defects in automotive engines and detect the moments of their origin.

Practical signifi cance. The proposed algorithms made it possible to diagnose malfunctions and calculate the residual resource of automotive engine units in real time, display the dynamics of signal changes on the display, process user requests and form a protocol for changing the diesel state picture during its operation.

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