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Mathematical Problems in Engineering
Volume 2013, Article ID 659243, 7 pages
Research Article

Processing of Instantaneous Angular Speed Signal for Detection of a Diesel Engine Failure

Faculty of Marine Engineering, Gdynia Maritime University, 81-87 Morska Street, 81-225 Gdynia, Poland

Received 20 February 2013; Accepted 3 April 2013

Academic Editor: Henryk Śniegocki

Copyright © 2013 Adam Charchalis and Mirosław Dereszewski. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Continuous monitoring of diesel engine performance under its operating is critical for the prediction of malfunction development and subsequently functional failure detection. Analysis of instantaneous angular speed (IAS) of the crankshaft is considered as one of the nonintrusive and effective methods of the detection of combustion quality deterioration. In this paper results of experimental verification of fuel system's malfunction detecting, using optical encoder for IAS recording are presented. The implemented method relies on the comparison of measurement results, recorded under healthy and faulty conditions of the engine. Elaborated dynamic model of angular speed variations enables us to build templates of engine behavior. Recorded during experiment, values of cylinder pressure were taken for the approximation of pressure basic waveform. The main task of data processing is smoothing the raw angular speed signal. The noise is due to sensor mount vibrations, signal emitter machining, engine body vibrations, and crankshaft torsional vibrations. Smoothing of the measurement data was carried out by the implementation of the Savitzky-Golay filter. Measured signal after smoothing was compared with the model of IAS run.