Signal Analysis of Automotive Engine Spark Ignition System using Case-Based Reasoning (CBR) and Case-based Maintenance (CBM)

Journal Article · Fri May 21 04:00:00 EDT 2010 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.3452215· OSTI ID:21361974

Huang, H; Vong, C M ^[1]; Wong, P K ^[2]

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1. Department of Computer and Information Science, FST, University of Macau (China)
2. Department of Electromechanical Engineering, FST, University of Macau (China)

With the development of modern technology, modern vehicles adopt electronic control system for injection and ignition. In traditional way, whenever there is any malfunctioning in an automotive engine, an automotive mechanic usually performs a diagnosis in the ignition system of the engine to check any exceptional symptoms. In this paper, we present a case-based reasoning (CBR) approach to help solve human diagnosis problem. Nevertheless, one drawback of CBR system is that the case library will be expanded gradually after repeatedly running the system, which may cause inaccuracy and longer time for the CBR retrieval. To tackle this problem, case-based maintenance (CBM) framework is employed so that the case library of the CBR system will be compressed by clustering to produce a set of representative cases. As a result, the performance (in retrieval accuracy and time) of the whole CBR system can be improved.

• OSTI ID: 21361974
• Journal Information: AIP Conference Proceedings, Journal Name: AIP Conference Proceedings Journal Issue: 1 Vol. 1233; ISSN APCPCS; ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
ACCURACY
CONTROL SYSTEMS
DIAGNOSIS
FLUID INJECTION
FOURIER ANALYSIS
IGNITION SYSTEMS
MAINTENANCE
NEURAL NETWORKS
PERFORMANCE
VEHICLES