NON-INVASIVE VIBROACOUSTIC DIAGNOSTICS OF CAR INTERNAL COMBUSTION ENGINES

Abstract

Over the past ten years, the number of vehicles on the roads has almost doubled. The consequences of this state are negative effects, which include an increased number of road accidents and an increased level of harmful emissions into the atmosphere, along with other forms of environmental pollution. Road safety level is the sum of the safety levels of each element of the human-vehicle-environment system. In order to maintain the appropriate level of road safety, vehicles must be maintained in proper technical condition, and for this purpose, it is necessary to detect all types of damage at an early stage. All types of methods that allow non-invasive diagnosis of the technical condition of vehicles and their individual components seem to be extremely useful. It is important that they allow for detecting emerging faults in their early stages of development. Such tools undoubtedly include methods using vibration and acoustic signals as carriers of information about technical condition. Their appropriate processing and use in diagnostic systems that additionally use artificial intelligence makes it possible to meet the requirements for diagnostic systems. From a global perspective, this additionally enables the impact on reducing the costs of civilization development, including social costs. The article presents the use of various methods of processing vibroacoustic signals and artificial intelligence tools used to diagnose damage to combustion engines in cars.

Keywords

• diagnostics
• automotive internal combustion engines
• vibroacoustics
• non-invasive diagnostic methods