This article aims to review the literature on condition-based maintenance (CBM) by
analyzing various terms, applications, and challenges. CBM is a maintenance technique that …

Abstract Logical Analysis of Data (LAD) is a data analysis methodology introduced by Peter
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …

This paper applies the Logical Analysis of Data (LAD) to detect and diagnose faults in
industrial chemical processes. This machine learning classification technique discovers …

A key component for the performance, availability, and reliability of power grids is the power
transformer. Although power transformers are very reliable assets, the early detection of …

Condition monitoring of rotating machinery has attracted more and more attention in recent
years in order to reduce the unnecessary breakdowns of components such as bearings and …

Extracting reliable features from vibration signals is a key problem in machinery fault
recognition. This study proposes a novel sparse wavelet reconstruction residual (SWRR) …

Numerous companies in manufacturing industries have “servitized” their value propositions
to address issues on product commoditization and sustainability. A key component of …

This paper presents a novel methodology for multiple failure modes prognostics in rotating
machinery. The methodology merges a machine learning and pattern recognition approach …

Self-care problems diagnosis and classification is an important challenge in exceptional
children health care systems. Since, self-care problems classification is a time-consuming …

Most of the reported prognostic techniques use a small number of condition indicators
and/or use a thresholding strategies in order to predict the remaining useful life (RUL). In this …