The condition monitoring (CM) of rotating machinery (RM) is an essential operation for
improving the reliability of mechanical systems. For this purpose, an efficient CM method that …

Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …

Based on the features extracted from the condition monitoring data, data-driven prognostic
approaches are able to predict the remaining useful life (RUL) of machinery. Existing …

The recent advance of digital twin (DT) has greatly facilitated the development of predictive
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …

This book addresses the steps needed to monitor health assessment systems and the
anticipation of their failures: choice and location of sensors, data acquisition and processing …

In the context of industrial big data, the data-driven remaining useful life prediction for rolling
bearings has been greatly developed. Aimed at the shortcomings of feature selection …

Despite the complex mathematical models and physical phenomena on which it is based,
the simplicity of its construction, its affordability, the versatility of its applications and the …

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 …

Remaining useful life (RUL) prediction, allowing for mechanical predictive maintenance,
reduces unplanned and expensive maintenance greatly. One of the great challenges of data …

Wear indicators (WIs) attempt to identify historical and ongoing degradation processes by
extracting features from acquired data. The quality of the constructed WIs affects the validity …