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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18083
Title: Cylinder misfire detection using engine sound quality metrics and random forest classifier
Authors: Singh S.
Potala S.
Mohanty A.R.
Published in: Proceedings of 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling
Abstract: This paper proposes a novel method to detect cylinder misfiring using the sound quality metrics of the sound waves emitted from the engine, as features in a random forest classifier. This method was tested on a four-stroke, four-cylinder SI engine run on a wide range of load torques, 20 to 50 Nm, and wide range of speeds, 1260 to 3340 rpm, where at every test condition a cylinder was misfired intermittently. Fifty-two sound signals were measured near the engine, containing 26 pairs of no misfiring condition and its corresponding one cylinder misfiring condition. Sound pressure level and the key sound quality metrics namely, Loudness, Roughness and Fluctuation Strength of the engine sounds were used as features in a random forest classifier. The model correctly classified misfiring signals and no-fault signals with 100% test accuracy. Thus, engine sound quality metrics successfully predict misfiring of an SI engine using a random forest classifier. The proposed technique is advantageous over existing misfire detection techniques, as it does not require an in-cylinder or engine-attached measurement, thus eliminating the need for costly sensors and regular maintenance. Additionally, the proposed method is robust over wider torque and speed range than most existing techniques. A classifier based on this method integrated with any affordable microphone placed underhood could be a cheap misfiring prediction device. © 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. All rights reserved.
Citation: Proceedings of 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling, (2018), 2759- 2765
URI: http://repository.iitr.ac.in/handle/123456789/18083
Issue Date: 2018
Publisher: International Institute of Acoustics and Vibration, IIAV
Keywords: Cylinder
Load
Misfire
Sound quality
Speed
Author Scopus IDs: 56215217100
57195637368
7102044449
Author Affiliations: Singh, S., Indian Institute of Technology Kharagpur, Department of Mechanical Engineering, Kharagpur, India
Potala, S., Indian Institute of Technology Kharagpur, Department of Mechanical Engineering, Kharagpur, India
Mohanty, A.R., Indian Institute of Technology Kharagpur, Department of Mechanical Engineering, Kharagpur, India
Corresponding Author: Singh, S.; Indian Institute of Technology Kharagpur, Department of Mechanical EngineeringIndia; email: snehasingh.iitkgp@gmail.com
Appears in Collections:Conference Publications [ME]

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