In this paper, we investigate the residual life prediction problem for a partially observable system subject to two failure modes, namely a catastrophic failure and a failure due to the system degradation. The system is subject to condition monitoring and the degradation process is described by a hidden Markov model with unknown parameters. The parameter estimation procedure based on an EM algorithm is developed and the formulas for the conditional reliability function and the mean residual life are derived, illustrated by a numerical example
In the context of this thesis, prognosis aims at predicting the residual useful life ofcomponents us...
In modern electronics and in electrical applications design is very important to be able to predict ...
We often observe in practice that the life of a piece of production equipment can be divided into tw...
In this paper, we investigate the residual life prediction problem for a partially observable system...
International audienceWe propose an approach for failure prognosis based on the estimation of the Re...
Many real-world systems experience deterioration with usage and age, which often leads to low produc...
International audienceRemaining Useful Life (RUL) estimation plays an important role in implementing...
International audienceIn the past years, Hidden Markov Models have been used in several fields and a...
International audienceDeterioration modeling and Remaining Useful Life (RUL) estimation play an impo...
International audienceIn condition-based maintenance area, mean residual life function is recognized...
AbstractDynamic time-varying operational conditions pose great challenge to the estimation of system...
Dynamic time-varying operational conditions pose great challenge to the estimation of system remaini...
Residual useful lifetime (RUL) prediction plays a key role of failure prediction and health manageme...
International audienceThis paper provides a methodology to analyze the efficiency of mean residual l...
Received and accepted Real-time condition monitoring is becoming an important tool in maintenance de...
In the context of this thesis, prognosis aims at predicting the residual useful life ofcomponents us...
In modern electronics and in electrical applications design is very important to be able to predict ...
We often observe in practice that the life of a piece of production equipment can be divided into tw...
In this paper, we investigate the residual life prediction problem for a partially observable system...
International audienceWe propose an approach for failure prognosis based on the estimation of the Re...
Many real-world systems experience deterioration with usage and age, which often leads to low produc...
International audienceRemaining Useful Life (RUL) estimation plays an important role in implementing...
International audienceIn the past years, Hidden Markov Models have been used in several fields and a...
International audienceDeterioration modeling and Remaining Useful Life (RUL) estimation play an impo...
International audienceIn condition-based maintenance area, mean residual life function is recognized...
AbstractDynamic time-varying operational conditions pose great challenge to the estimation of system...
Dynamic time-varying operational conditions pose great challenge to the estimation of system remaini...
Residual useful lifetime (RUL) prediction plays a key role of failure prediction and health manageme...
International audienceThis paper provides a methodology to analyze the efficiency of mean residual l...
Received and accepted Real-time condition monitoring is becoming an important tool in maintenance de...
In the context of this thesis, prognosis aims at predicting the residual useful life ofcomponents us...
In modern electronics and in electrical applications design is very important to be able to predict ...
We often observe in practice that the life of a piece of production equipment can be divided into tw...