The intermittent and stochastic nature of Renewable Energy Sources (RESs) necessitates
accurate power production prediction for effective scheduling and grid management. This …

We are performing the digital transition of industry, living the 4th industrial revolution,
building a new World in which the digital, physical and human dimensions are interrelated in …

A transient is defined as an event when a plant proceeds from a normal state to an abnormal
state. In nuclear power plants (NPPs), recognizing the types of transients during early …

Effective health diagnosis provides multifarious benefits such as improved safety, improved
reliability and reduced costs for operation and maintenance of complex engineered systems …

Prognostics aims at determining whether a failure of an engineered system (eg, a nuclear
power plant) is impending and estimating the remaining useful life (RUL) before the failure …

Artificial intelligence operations (AIOps) is emerging as a novel technology in industrial
automation to improve operation and maintenance (O&M) efficiency through machine …

Abstract The use of Echo State Networks (ESNs) for the prediction of the Remaining Useful
Life (RUL) of industrial components, ie the time left before the equipment will stop fulfilling its …

The safety of nuclear power plants can be enhanced, and the costs of operation and
maintenance reduced, by means of prognostic and health management systems which …

This article presents an industrial implementation of a virtual sensor in the process of fault
detection of an induction motor. An ensemble-learning soft-sensor is developed to detect …

In this paper, a novel Dynamic-Weighted Probabilistic Support Vector Regression-based
Ensemble (DW-PSVR-ensemble) approach is proposed for prognostics of time series data …