Diagnostic reasoning based on structure and behavior
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
A theory of diagnosis from first principles
Artificial Intelligence
Artificial Intelligence
Information Processing Letters
Model-based reasoning: troubleshooting
Exploring artificial intelligence
Using crude probability estimates to guide diagnosis
Artificial Intelligence
Readings in model-based diagnosis
Readings in model-based diagnosis
Physical impossibility instead of fault models
Readings in model-based diagnosis
Characterizing diagnoses and systems
Artificial Intelligence
Model-based adaptation for self-healing systems
WOSS '02 Proceedings of the first workshop on Self-healing systems
Dependent Failures in Consistency-based Diagnosis
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
"Physical negation": integrating fault models into the general diagnostic engine
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Diagnosis with behavioral modes
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Detecting and locating faults in the control software of autonomous mobile robots
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
No faults in structure?: how to diagnose hidden interactions
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Diagnosing dependent failures in the hardware and software of mobile autonomous robots
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Using AI techniques for fault localization in component-oriented software systems
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
| Hi-index | 0.00 |
Detecting, locating and repairing faults is a hard task. This holds especially in cases where dependent failures occur in practice. In this paper we present a methodology which is capable of handling dependent failures. For this purpose we extend the model-based diagnosis approach by explicitely representing knowledge about such dependencies which are stored in a failure dependency graph. Beside the theoretical foundations we present algorithms for computing diagnoses and repair actions that are based on these extensions. Moreover, we introduce a case study which makes use of a larger control program of an autonomous and mobile robot. The case study shows that the proposed approach can be effectively used in practice.