A simulation-based real options analysis (ROA) approach is used to determine the optimum predictive maintenance opportunity for a wind turbine with a remaining useful life (RUL) prediction. When an RUL is predicted for a subsystem in a single turbine using PHM, a predictive maintenance option is triggered that the decision-maker has the flexibility to decide if and when to exercise before the s...

This paper presents a Matlab-based tutorial for model-based prognostics, which combines a physical model with observed data to identify model parameters, from which the remaining useful life (RUL) can be predicted. Among many model-based prognostics algorithms, the particle filter is used in this tutorial for parameter estimation of damage or a degradation model in model-based prognostics. The ...

Prognostic activity deals with prediction of the remaining useful life (RUL) of physical systems based on their actual health state and their usage conditions. RUL estimation gives operators a potent tool in decision making by quantifying how much time is left until functionality is lost. In addition, it can be used to improve the characterization of the material proprieties that govern damage ...

Prognostic approaches based on particle filtering employ physical models in order to estimate the remaining useful life (RUL) of systems. To this aim a set of particles is used to first estimate the degradation state of the system and then to predict the distribution of the RUL through simulation. The computational complexity of this approach is a function of the number of particles used in the...

The association of systemic sarcoidosis with malignant neoplasms has been reported by several publications although there is controversy as to whether sarcoidosis predisposes patients to certain types of tumors or whether it is the tumors that cause a sarcoid reaction. The relationship between endobronchial carcinoid tumor and sarcoidosis is uncommon. We report the case of a 43-year-old male wh...