Prediction of the remaining useful life (RUL) of critical components is a non-trivial task for industrial applications. RUL can differ for similar components operating under the same conditions. Working with such problem, one needs to contend with many uncertainty sources such as system, model and sensory noise. To do that, proposed models should include such uncertainties and represent the bel...

The primary objective of the project was the development of criteria to define the end-of– life condition of pavements. These criteria could then be used in pavement performance modelling to obtain a more robust measure of remaining life. Another objective was the generation of a new model for maintenance costs. This could then be combined with the existing models for roughness and rutting to d...

The application of remaining useful life (RUL) prediction is very important in terms energy optimization, cost-effectiveness, and risk mitigation. existing RUL algorithms mostly constitute deep learning frameworks. In this paper, we implement LSTM GRU models compare the obtained results with a proposed genetically trained neural network. current solely depend on ADAM SGD for optimization learni...

In a system, prediction of remaining useful lifetime (RUL) of servicing before reaching to a specified breakdown threshold is a very important practical issue, and research in this field is still regarded as an appreciated research gap. Operational environment of an equipment is not constant and changes regarding to stresses and shocks. These random environmental factors accelerate system deter...

Remaining useful life (RUL) prediction is one of key technologies to realize prognostics and health management that is being widely applied in many industrial systems to ensure high system availability over their life cycles. The present work proposes a data-driven method of RUL prediction based on multiple health state assessment for rolling element bearings. Instead of finding a unique RUL pr...

Materials Engineering, with Elliott Company, in Jeannette, Pennsylvania, and has 34 years of experience in the turbomachinery industry. He is responsible for the metallurgical and welding engineering for the various Elliott product lines within the company. He is the author/coauthor of a number of technical articles related to topics such as abradable seals, high temperature corrosion, fracture...