Predictive Maintenance Planning Using Renewal Reward Processes and Probabilistic RUL Prognostics: Analyzing the Influence of Accuracy and Sharpness of Prognostics

We pose the maintenance planning for systems using probabilistic Remaining Useful Life (RUL) prognostics as a renewal reward process. Data-driven probabilistic RUL prognostics are obtained using a Convolutional Neural Network with Monte Carlo dropout. The maintenance planning model is illustrated for aircraft turbofan engines. The results show...

Coarsening and solutioning of precipitates in superalloys

Coarsening and solutioning of the main strengthening phase for the majority of superalloys, the y' phase, are discussed. It is shown that a general prediction of coarsening rates and solutioning temperatures is possible.

The NLR/NGTE joint programme on the measurement of attenuation and impedance in acoustic flow duct facilities.

The National Aerospace Laboratory NLR in the Netherlands and the National Gas Turbine Establishment NOTE operate similar acoustic flow duct facilities but with differences in their respective approaches to the measurement of attenuation and impedance of duct linings. A joint exercise was arranged with the object of comparing methods and results,...