This paper presents an overview of two maintenance techniques widely discussed in the
literature: time-based maintenance (TBM) and condition-based maintenance (CBM). The …

Rolling element bearings are very critical components of rotating machines and the
presence of defects in the bearing may lead to failure of machines. Hence, early …

Vibration signals of faulty rolling element bearings usually exhibit non-linear and non-
stationary characteristics caused by the complex working environment. It is difficult to …

As the essential components of rotating machines, rolling bearings always operate in
variable working conditions and suffer from different failure modes. To address the issue of …

Background Different types of machines having rotary component are linked together in
process industries, to perform the process of manufacturing. The failure of any single …

We report on a data-driven approach for the remaining useful life (RUL) estimation of rolling
element bearings based on ε-Support Vector Regression (ε-SVR). Lifetime data are …

Enormous data are continuously collected by the structural health monitoring system of civil
infrastructures. The structural health monitoring data inevitably involve anomalies caused by …

Bearings are common and vital elements in rotating machinery. By tracking the condition of
a bearing, unscheduled machinery outages and costly damage caused by a bearing failure …

At present, the fourth industrial revolution is pushing factories toward an intelligent,
interconnected grid of machinery, communication systems, and computational resources …

Based on the traditional theory of singular value decomposition (SVD), singular values (SVs)
and ratios of neighboring singular values (NSVRs) are introduced to the feature extraction of …