Case-based reasoning
CBR for diagnosis and decision support
AI Communications - Special issue on ECAI-96 Budapest
Using Case-Based Reasoning to Focus Model-Based Diagnostic Problem Solving
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Similarity Measures for Object-Oriented Case Representations
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
CBR Applied to Fault Diagnosis on Steam Turbines
Proceedings of the First United Kingdom Workshop on Progress in Case-Based Reasoning
A Comparison of Model-based Reasoning and Learning Approaches to Power Transmission Fault Diagnosis
ANNES '95 Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems
Fault Tree and Formal Methods in System Safety Analysis
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Metadata support to retrieve and revise solutions in case-based reasoning
International Journal of Metadata, Semantics and Ontologies
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In this paper we present a case---based troubleshooting tool developed in the context of the SMMART project. The application aims at the identification and solution of failures in trucks, exploiting a hybrid approach based on the integration of CBR, model based reasoning and fault trees. The case---based module of the final system allows to identify the most probable part of the truck that is responsible for the failures (e.g. engine, gearbox, and so on): then, model---based reasoning or fault trees can be used to detect the real cause of the problem (e.g. an electric cable in the engine) and to identify the action needed to solve it (e.g. substitute the cable). The project is a collaboration between the University of Milan---Bicocca and Volvo Trucks.