APPLICATION OF PROBABILISTIC NEURAL NETWORK AND VIBRATION SIGNALS FOR DIESEL CAR ENGINE FUEL INJECTORS DAMAGE
Journal Title: Scientific Journals of Silesian University of Technology. Series Transport - Year 2013, Vol 2013, Issue 81
Abstract
Conducted tests attempted to determine the occurring damage of fuel injectors in car combustion engine. Test object was Ford Mondeo car powered by diesel engine with capacity of 2.0 [dm3]. In order to diagnose the damage the vibration signals generated by the engine were used – initially processed with the use of discrete wavelet transform and probabilistic neural networks. In this article is proposed using DWT analysis and energy or entropy which are a base for diagnostic system.
Authors and Affiliations
Piotr CZECH
Keywords
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