Vibration analysis to detect and locate engine misfires
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka
Abstract
Vibration analysis is used to detect faults and anomalies in machinery and other mechanical systems that produce vibrations during operation. The study aimed to develop an algorithm that can detect and locate engine faults in automobiles by analyzing vibrational data produced during engine operation. Analysis was done on one type of engine fault – Spark Ignition Engine misfire. To detect anomalies in the vibrational pattern (waveform), analysis was carried out in both time and frequency domains. To obtain vibrational data an AVR – 32 (Arduino) based data acquisition device was built, and analysis was carried out in MATLAB using scripts and functions. The developed algorithm isolates frequency components in the waveform that corresponds to engine faults and converts them into numerical quantities that are then compared with computed ranges. The algorithm was able to identify the presence of a misfire in the engine and could locate the cylinder in which the misfire occurs with significant accuracy.
Description
Keywords
locating engine misfires, vibration analysis
Citation
Jayasooriya Prathap V.; Siriwardana Geethal C.; Bandara Tharaka R.; (2021), Vibration analysis to detect and locate engine misfires, International Research Conference on Smart Computing and Systems Engineering (SCSE 2021), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. 237-243.