Intelligent Detection and Real-time Monitoring of Engine Oil Aeration Using a Machine Learning Model

This research work develops a machine learning model for detecting and real-time monitoring engine oil aeration in an internal combustion engine using only single high-speed oil pressure sensor. The presented method uses a five level cascading discrete wavelet transform with Daubechies 4 tap wavelet and an associated variance metric to identify features related to oil aeration from a set of recorded oil pressure traces. A Gaussian process …