This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …

In the wind energy industry, the power curve represents the relationship between the “wind
speed” at the hub height and the corresponding “active power” to be generated. It is the most …

This study aims to establish a novel entropy-based sparsity measure for two main purposes:
first is for the prognosis of bearing defects, secondly it is employed to construct sparsogram …

The efficient diagnosis of bearing faults requires the extraction of informative features. This
paper presents a novel approach that combines Weighted Principal Component Analysis …

In order to assess the degradation process of machines, it is necessary to construct a
suitable health indicator. Existing health indicators are mainly constructed with manually …

Rotating machinery is used at length in a variety of industrial applications. The continuous
monitoring of rotating machines is of excessive importance when it comes to prevent their …

Abstract Rolling Element Bearings are one of the most ubiquitous machine elements used in
various machineries in the manufacturing industry. Prognosis and estimation of residual life …

This study proposes a framework for predicting the remaining useful lifetime (RUL) of
concrete structures using acoustic emission (AE) data. This framework presents two primary …

Health index (HI) can help equipment maintenance personnel better understand the health
status of equipment. However, how to construct a HI generation model with robust predictive …

In recent years, the development of autonomous health management systems received
increasing attention from worldwide companies to improve their performances and avoid …