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 …

To improve the fault identification accuracy of rolling bearings due to the problems of
parameter optimization and low convergence accuracy, a novel fault diagnosis method for …

In a reactor, various reactor instruments inform the operator of changes in the operating
conditions. However, until now, the identification of the reactor state from interpretations of …

Nowadays, bearings installed in industrial electric motors are constituted as the primary
mode of a failure affecting the global energy consumption. Since industries' energy demand …

In this study, we developed a fault classification model that combines a coupled hidden
Markov model based on multi-channel information fusion with a minimum intra-class …

Fault detection of rolling bearing based on principal component analysis and empirical mode
decomposition Page 1 AIMS Mathematics, 5(6): 5916–5938. DOI: 10.3934/math.2020379 …

Performance degradation assessment (PDA) is of great significance to ensure safety and
availability of mechanical equipment. As an important issue of PDA, the robustness of the …

Condition-based maintenance (CBM) is a maintenance program that recommends
maintenance decisions based on collected data through condition monitoring. The aim of …

Entropy measurements are an accessible tool to perform irregularity and uncertainty
measurements present in time series. Particularly in the area of signal processing …

Estimating the failure time of the machinery that are used in the production is crucial to
achieve an e cient maintenance in Industry 4: 0 era. Remaining useful life (RUL) is the term …