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Failure detection of closed-loop systems and application to SI engines

Deng, LF, Shi, YW, Zhu, LX and Yu, DL (2017) Failure detection of closed-loop systems and application to SI engines. Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 47 (2). pp. 577-582. ISSN 1671-5497

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Abstract

The existing methods of engine fault detection and isolation are based on open-loop control, which are not applicable to closed-loop control systems. In this paper a new fault detection and isolation method for closed-loop control systems is presented. The validity of this method is verified by simulation results. First, the method was tested on the nonlinear simulation of SI engines, the Mean Value Engine Model (MVEM) with different faults was simulated. The neural network based engine air path model was constructed, which was trained with engine input/output data. Then Radial Basis Function (RBF) neural network was used to model the SI engine. The drawback of the training data acquisition was analyzed and a new data acquisition method was proposed, that greatly improved the model accuracy. © 2017, Editorial Board of Jilin University. All right reserved.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Electronics and Electrical Engineering
Publisher: China HowNet
Date Deposited: 20 May 2019 11:06
Last Modified: 20 May 2019 11:06
DOI or Identification number: 10.13229/j.cnki.jdxbgxb201702032
URI: http://researchonline.ljmu.ac.uk/id/eprint/10732

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