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

2nd International Manufacturing Engineering Conference; 3rd Asia-Pacific Conference on Manufacturing Systems

Pauzi, Muhammad Zaim Mohamed^1 ; Bakar, Elmi Abu^1 ; Ismail, Mohd Fauzi^2

School of Mechanical Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Penang

14300, Malaysia^1

Faculty of Mechanical Engineering, Universiti Teknologi MARA, Permatang Pauh, Penang

13500, Malaysia^2

关键词: Air to fuel ratios;    Digital signal-processing method;    Environmental conditions;    Feature identification;    Incomplete combustion;    New technologies;    Sensors or actuators;    Signal behavior;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/114/1/012140/pdf
DOI  :  10.1088/1757-899X/114/1/012140

来源: IOP

【 摘 要 】

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.