A Risk-Based Approach to Prognostics and Health Management Combining Bayesian Networks and Continuous-Time Bayesian Networks
J Schupbach, E Pryor, K Webster… - IEEE Instrumentation & …, 2023 - ieeexplore.ieee.org
Performing general prognostics and health management (PHM), especially in electronic
systems, continues to present significant challenges. The low availability of failure data …
systems, continues to present significant challenges. The low availability of failure data …
Combining dynamic Bayesian networks and continuous time Bayesian networks for diagnostic and prognostic modeling
J Schupbach, E Pryor, K Webster… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
The problem of performing general prognostics and health management, especially in
electronic systems, continues to present significant challenges. The low availability of failure …
electronic systems, continues to present significant challenges. The low availability of failure …
Using continuous-time Bayesian networks for standards-based diagnostics and prognostics
L Perreault, J Sheppard, H King… - 2014 IEEE …, 2014 - ieeexplore.ieee.org
In this paper we present a proposal for a new prognostic model to be included in a future
revision of the IEEE Std 1232-2010 Standard for Artificial Intelligence Exchange and Service …
revision of the IEEE Std 1232-2010 Standard for Artificial Intelligence Exchange and Service …
An AI-ESTATE conformant interface for net-centric diagnostic and prognostic reasoning
H King, N Fortier, JW Sheppard - 2014 IEEE AUTOTEST, 2014 - ieeexplore.ieee.org
IEEE Std 1232-2010 Standard for Artificial Intelligence Exchange and Service Tie to All Test
Environments (AIESTATE) provides a standardized approach to modeling and control of a …
Environments (AIESTATE) provides a standardized approach to modeling and control of a …
An AI-ESTATE conformant interface for net-centric diagnostic and prognostic reasoning
H King, N Fortier, JW Sheppard - IEEE Instrumentation & …, 2015 - ieeexplore.ieee.org
There exists a wide field of strong theoretical models, which provide a basis for diagnostic
and probabilistic reasoning. Among these are Bayesian methods, decision trees, D …
and probabilistic reasoning. Among these are Bayesian methods, decision trees, D …
[PDF][PDF] EXTENDING INFERENCE IN CONTINUOUS TIME BAYESIAN NETWORKS
LE Sturlaugson - 2013 - cs.montana.edu
The continuous time Bayesian network (CTBN) has been defined to enable reasoning about
complex systems in continuous time by representing the system as a factored, finite-state …
complex systems in continuous time by representing the system as a factored, finite-state …