Case-based adaptation for automotive engine electronic control unit calibration

Authors:
Chi-man Vong;Pak-kin Wong
Affiliations:
Department of Computer and Information Science, FST, University of Macau, Macao;Department of Electromechanical Engineering, FST, University of Macau, Macao
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

Citing 8
Cited 3

Reasoning with complex cases

Reasoning with complex cases
Planning and Learning by Analogical Reasoning

Planning and Learning by Analogical Reasoning
A Case Study of Case-Based CBR

ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Foundations of Soft Case-Based Reasoning

Foundations of Soft Case-Based Reasoning
Learning adaptation knowledge to improve case-based reasoning

Artificial Intelligence
Optimal case-based refinement of adaptation rule bases for engineering design

ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Acquiring case adaptation knowledge: a hybrid approach

AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Cased-Based reasoning by human experts

ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development

Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis

Engineering Applications of Artificial Intelligence
A case-based knowledge system for safety evaluation decision making of thermal power plants

Knowledge-Based Systems
Integrating gray system theory and logistic regression into case-based reasoning for safety assessment of thermal power plants

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

The automotive engine performance is greatly affected by the calibration of its electronic control unit (ECU). The method for ECU calibration is traditionally done by trial-and-error. This traditional method consumes a large amount of time and money. To resolve this problem, case-based reasoning (CBR) is employed, so that an existing and effective ECU setup can be adapted to fit another similar class of engines. The adaptation procedure is done through a more sophisticated step called case-based adaptation (CBA) (Craw, Jarmulak, & Rowe, 2001; Craw, Wiratunga, & Rowe, 2006; Leake, Kinley, & Wilson, 1996, 1997). CBA is an effective knowledge management tool, which can interactively learn the expert adaptation knowledge. The paper briefly reviews the methodologies of CBR and CBA. Then the application to ECU calibration is described via a case study. With CBR and CBA, the efficiency of calibrating an ECU can be enhanced. A prototype system has also been developed to verify the usefulness of CBR in ECU calibration.