We consider future environmental profiles that evolve in a deterministic manner. Unique to our model is the union of historical data with real time sensor-based ...

Jun 29, 2012 · Abstract We present a stochastic modeling framework for sensor-based degradation signals that predicts, in real time, the residual lifetime ...

Jun 29, 2012 · Abstract We present a stochastic modeling framework for sensor-based degradation signals that predicts, in real time, the residual lifetime ...

We present a stochastic model of a sensor-based degradation signal for predicting, in real time, the residual lifetime of individual components subjected to ...

We present a stochastic modeling framework for sensor-based degradation signals that predicts, in real time, the residual lifetime of individual components ...

In this paper, we propose a Brownian motion process with a stress-dependent drift to model multiple time-varying environmental covariates. A semiparametric ...

In this paper, we propose a Brownian motion process with a stress-dependent drift to model multiple time-varying environ- mental covariates. A semiparametric ...

Abstract – In this paper, we develop an integrated prognostics method considering time- varying operating condition, which integrates gear physical models ...

Jun 15, 2023 · A hybrid prognostic method for rotating machinery under time-varying operating conditions by fusing direct and indirect degradation ...

and Gebraeel, N., “A stochastic methodology for prognostics under time-varying environmental future profiles,” in Proceedings of the 2011 Conference on ...