Bearing is a key component in industrial machinery and its failure may lead to unwanted
downtime and economic loss. Hence, it is necessary to predict the remaining useful life …

Prognostics and health management (PHM) of turbine cutting tools, particularly the
remaining useful life (RUL) prediction is a Gordian technique to maintain the reliability and …

In this research, solar cell capacitance simulator-one-dimensional (SCAPS-1D) software
was used to build and probe nontoxic Cs-based perovskite solar devices and investigate …

The advancement of thin-film photovoltaic technologies is increasing extensively in today's
world owing to their outstanding optical properties, simple fabrication process, and low-cost …

RUL (remaining useful life) estimation is one of the main functions of the predictive analytics
systems for rotary machines. Data-driven models based on large amounts of multisensory …

Early detection of faulty patterns and timely scheduling of maintenance events can minimize
risk to the underlying processes and increase the system's lifespan, reliability, and …

In the pharmaceutical industry, the maintenance of production machines must be audited by
the regulator. In this context, the problem of predictive maintenance is not when to maintain …

The intelligent recognition technology for ferrography images is one of the important
methods for diagnosis fault and state detection of machines. In allusion to these questions …

The requirement to satisfy the assumption of identically and independently distributed data
limits the practical application of traditional remaining useful life (RUL) prediction methods …

Aiming at the fault diagnosis accuracy of rolling bearings is not high enough, and unknown
faults cannot be correctly identified. A priority elimination (PE) method is proposed in this …