This paper describes a general-purpose probabilistic framework for reasoning in diagnosis and prognosis. The framework provides a mathematically rigorous way of handling uncertainty, which is often present in diagnosis and is inherent to prognosis. It is based on an extension of Bayesian network models and Bayesian inference. It coherently integrates multiple sources of evidence in diagnosis and prognosis, including component usage, environmental conditions of operation as well as component health and health trends. The framework has been applied to diagnosis of very complex transportation and aviation systems and to prognosis of electromechanical and electronic subsystems in aviation.
Reasoning Framework for Diagnosis and Prognosis
01.03.2007
331262 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Structural Integrity Prognosis System Reasoning
AIAA | 2010
|Structural Integrity Prognosis System Reasoning
British Library Conference Proceedings | 2010
|Framework Standard for Prognosis: An Approach for Effective Prognosis Implementation
British Library Conference Proceedings | 2019
|Framework Standard for Prognosis: An Approach for Effective Prognosis Implementation
SAE Technical Papers | 2019
|