Feature Identification and Filtering for Engine Misfire Detection (EMD) Using Zirconia Oxygen Sensor

• Main Authors: Azhari M.A.M (Author), Bakar, E.A (Author), Hamedon Z. (Author), Ismail, M.F (Author), Pauzi, M.Z.M (Author), Rao A.K.P (Author), Turan F.M (Author), Yusoff A.R (Author), Zahid M.N.O (Author)
• Format: Article
• Language: English
• Published: Institute of Physics Publishing 2016
• Subjects: Air to fuel ratios; Butterworth filters; Catalytic converters; Combustion; Damage detection; Digital signal-processing method; Discrete Fourier transforms; Engines; Environmental conditions; Feature identification; High-efficiency; Incomplete combustion; Internal combustion engines; Low maintenance; Manufacture; Mechanical actuators; Oxygen sensors; Sensors or actuators; Signal detection; Signal processing; Zirconia
• Online Access: View Fulltext in Publisher; View in Scopus

 Vehicles as transportation are popular and mainly use among peoples around the world for various kind of purpose either personal or not. Over hundreds of year internal combustion engines widely used because of high efficiency and low maintenance compare to new technology which are using cells of battery. Nevertheless, emission cause of incomplete combustion such engine misfire normally occurs as well. For instances, some mechanical, sensors or actuators failure and environmental condition contribute to the engine misfire. The importance of engine misfire detection (EMD) is to ensure engine emissions not harmful to the environments and avoid damage of catalytic converter. By using low cost narrowband oxygen sensor to acquire air to fuel ratio (AFR) signal behavior under misfire condition and analyst by digital signal processing method using Discrete Fourier Transform (DFT) algorithm for Digital Butterworth Filter designation is discussed in this paper. © Published under licence by IOP Publishing Ltd.