Add to ORKGIn this paper, we review the application of dynamic Bayesian networks to prognostic modelling. An example is provided for illustration. With this example, we show how the equipment’s reliability decays over time in the situation where repair is not possible and then how a simple change to the model allows us to represent different maintenance policies for repairable equipme
Dynamic Bayesian networks (DBNs) represent complex time-dependent causal relationships through the u...
Recent works performed by several researchers working in the dependability eld have shown how the fo...
Abstract — The maintenance of complex systems is a discipline that requires great knowledge and grea...
The maintenance optimization of complex systems is a key question. One important objective is to be ...
The maintenance optimization of complex systems is a key question. One important objective is to be ...
International audienceThis paper presents a procedure for failure prognostic by using Dynamic Bayesi...
This paper develops a generic degradation model based on Dynamic Bayesian Networks (DBN) which predi...
This paper develops a generic degradation model based on Dynamic Bayesian Networks (DBN) which predi...
Abstract: Nowadays, the complex manufacturing processes have to be dynamically modelled and controll...
International audienceIn maintenance field, many developments exist to support the prognostic activi...
SAFEPROCESS'15 - 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Process...
AbstractIn this paper, we present an approach to reliability modeling and analysis based on the auto...
In this paper, we present an approach to reliability modeling and analysis based on the automatic c...
In this paper, we present an approach to reliability modeling and analysis based on the automatic c...
In this paper a generic degradation model based on Dynamic Bayesian Networks (DBN) which predicts th...
Dynamic Bayesian networks (DBNs) represent complex time-dependent causal relationships through the u...
Recent works performed by several researchers working in the dependability eld have shown how the fo...
Abstract — The maintenance of complex systems is a discipline that requires great knowledge and grea...
The maintenance optimization of complex systems is a key question. One important objective is to be ...
The maintenance optimization of complex systems is a key question. One important objective is to be ...
International audienceThis paper presents a procedure for failure prognostic by using Dynamic Bayesi...
This paper develops a generic degradation model based on Dynamic Bayesian Networks (DBN) which predi...
This paper develops a generic degradation model based on Dynamic Bayesian Networks (DBN) which predi...
Abstract: Nowadays, the complex manufacturing processes have to be dynamically modelled and controll...
International audienceIn maintenance field, many developments exist to support the prognostic activi...
SAFEPROCESS'15 - 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Process...
AbstractIn this paper, we present an approach to reliability modeling and analysis based on the auto...
In this paper, we present an approach to reliability modeling and analysis based on the automatic c...
In this paper, we present an approach to reliability modeling and analysis based on the automatic c...
In this paper a generic degradation model based on Dynamic Bayesian Networks (DBN) which predicts th...
Dynamic Bayesian networks (DBNs) represent complex time-dependent causal relationships through the u...
Recent works performed by several researchers working in the dependability eld have shown how the fo...
Abstract — The maintenance of complex systems is a discipline that requires great knowledge and grea...