Title :
Hybrid causal models for system diagnostics
Author_Institution :
ASML, Norwalk, CT, USA
Abstract :
System diagnostics, also called system fault diagnostics or fault diagnostics is critical to reduce mean time to repair (MTTR), maintain the availability and keep cost of ownership down. In this paper, a model-based diagnosis approach using hybrid causal model utilizing probabilistic reasoning is introduced. This model has the advantages of being general and integrated with probabilistic reasoning capability. Moreover, soft cause can be included in this hybrid causal mo del as well.
Keywords :
fault diagnosis; inference mechanisms; maintenance engineering; hybrid causal models; mean time to repair; probabilistic reasoning; system fault diagnostics; Bayesian methods; Biological system modeling; Boolean functions; Cognition; Data structures; Fault trees; Reliability; Bayesian belief networks; Diagnostics; Hybrid Causal Model; Reliability;
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2011 Proceedings - Annual
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
978-1-4244-8857-5
DOI :
10.1109/RAMS.2011.5754519