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

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 bat...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2016-02, Vol.114 (1), p.12140-12145
Main Authors: Pauzi, Muhammad Zaim Mohamed, Bakar, Elmi Abu, Ismail, Mohd Fauzi
Format: Article
Language:English
Subjects:
Actuator failure
Actuators
Algorithms
Automotive parts
Butterworth filters
Catalytic converters
Combustion
Digital signal processing
Engines
Exhaust systems
Filtering
Fourier transforms
Internal combustion engines
Narrowband
New technology
Oxygen probes
Zirconium dioxide
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/114/1/012140