A Detection and Isolation of Faults Technique in Automotive Engines Using a Data-Driven and Model-Based Approach-Reference-Cited by-同舟云学术

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A Detection and Isolation of Faults Technique in Automotive Engines Using a Data-Driven and Model-Based Approach

Published:2019-12-04 Issue: Volume: Page:503-520
ISSN:1876-1100
Container-title:Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019)
language:
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Author:

Wang Yingmin,Cui Dong,Guo Feng

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0474-7_48

Reference32 articles.

1. California Environmental Protection Agency: Air Resources Board, Section 1971.1, 1971.5 of title13, California code of regulations: HD OBD and OBDII regulations. California EPA, California(1971)

2. United States Environmental Protection Agency. 40 CFR Part 86,89, et al: control of air pollution from new motor vehicles and new motor vehicle engines; final rule. United States EPA (2009)

3. Nyberg, M.: Model-based diagnosis of an automotive engine using several types of fault models. IEEE Trans. Control Syst. Technol. 10(5), 679–689 (2002)

4. Huang, G.L., Qin, S.R., Wang, J.: Vehicle virtual instrument based on OBD-II system. China Meas. Test (2009)

5. Wu, F., Wang, H., Chen, G. Study on misfire calibration technology for gasoline engine OBD(China III and IV Phase). Automobile Technol. (2008)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Modified Principal Component Regression Method for Quality-related Fault Detection;2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS);2020-11-20

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