Misfire Prediction on Spark Ignition Four-Stroke Engine Through Statistical Features Using Rough Set Theory Classifier-Reference-Cited by-同舟云学术

Misfire Prediction on Spark Ignition Four-Stroke Engine Through Statistical Features Using Rough Set Theory Classifier

Published:2022 Issue: Volume: Page:129-138
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
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Author:

Arockia Dhanraj Joshuva,Solomon Jenoris Muthiya,Subramaniam Mohankumar,Prabhakar Meenakshi,Ramaian Christu Paul,Selvaraju Nandakumar,Vinayagam Nadanakumar

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-7909-4_12

Reference31 articles.

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4. Rath, M., Wegleiter, H., Brasseur, G., Basso, R.: Analysis of autoregressive coefficients of knock sensor signals for misfire detection in internal combustion engines. In: 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, pp. 1–6 (2019)

5. Zhang, P., Gao, W., Song, Q., Li, Y., Wei, L., Wei, Z.: Real-time angular velocity-based misfire detection using artificial neural networks. J. Eng. Gas Turbines Power 141(6) (2019)