Identification of Technical Condition of Valve Clearance Compensators Using Vibration Measurement and Machine Learning
[ 1 ] Instytut Silników Spalinowych i Transportu, Wydział Inżynierii Transportu, Politechnika Poznańska | [ 2 ] Instytut Mechaniki Stosowanej, Wydział Budowy Maszyn i Zarządzania, Politechnika Poznańska | [ P ] pracownik
[2.7] Inżynieria lądowa i transport[2.9] Inżynieria mechaniczna
2019
artykuł naukowy
angielski
- vibroacoustic diagnostics
- combustion engine
- machine learning
EN The dynamic development of internal combustion engine design and requirements for high reliability generates the need to apply a strategy of their operation based on the current technical condition. The paper concerns vibration diagnostics of automatic compensators of valve lash of a combustion engine. It presents the course of an active experiment conducted in order to develop a methodology for identifying the state of compensators based on measures of vibration signals measured at the engine head. Based on the results of the experiment, a classifier was developed in the form of a decision tree, which with high accuracy identified the technical condition of the compensators. The set of simple rules obtained thanks to the built up trees allows for easy implementation of the diagnostic system in practice.
2019206-1 - 2019206-12
Article 2019206
CC BY (uznanie autorstwa)
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