@inproceedings{4c005c1fc58c4ef7b775937c13ec844d,
title = "Misfire fault detection in SI engine using sliding mode observer",
abstract = "The novelty of work is the application of first order sliding mode techniques for hybrid model to estimate the system states which are finally analyzed to detect of Misfire fault. The output of hybrid model of SI engine (engine speed) is compared with the observed engine speed to generate the output error. The sliding mode observer is designed to track the engine speed and estimate the other system state i.e. acceleration. The crankshaft acceleration is analyzed to detect the engine misfire fault condition. The stability analysis of application of first order sliding mode for hybrid model is provided. The results of tracking of speed and estimation of acceleration using sliding mode observer are presented. The application of Sliding Mode Technique for hybrid model is first established using data generated by simulating engine model and then using experimental data taken from SI engine.",
keywords = "Fault Diagnosis, Hybrid Systems, Misfire Detection, SI Engine, Sliding Mode Observer",
author = "Rizvi, \{M. A.\} and \{Haider Zaidi\}, \{Syed Sajjad\} and \{Amin Akram\}, M. and Bhatti, \{Aamer I.\}",
year = "2012",
doi = "10.1109/IECON.2012.6388978",
language = "English",
isbn = "9781467324212",
series = "IECON Proceedings (Industrial Electronics Conference)",
pages = "5114--5119",
booktitle = "Proceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society",
}