The increased complexity and intelligence of automation systems require the development
of intelligent fault diagnosis (IFD) methodologies. By relying on the concept of a suspected …

As an indispensable energy device, 18650 lithium-ion battery has widespread applications
in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for …

The active contour model (ACM) approach in image segmentation is regarded as a research
hotspot in the area of computer vision, which is widely applied in different kinds of …

In this paper, a novel scheme for detecting bearing defects is proposed utilizing single-
valued neutrosophic cross-entropy (SVNCE). Initially, the artificial hummingbird algorithm …

In order to achieve fault diagnosis and prognosis, one needs a sufficient and valid life-cycle
data. However, this requirement is difficult for current high-reliable manufacturing system …

A well-known shortcoming of the traditional canonical correlation analysis (CCA) is the lack
of robustness against outliers. This shortcoming hinders the application of CCA in the case …

Wafer maps include information about multiple defect patterns on the wafer surface.
Intelligent categorization of the defective wafer is essential for investigating the underlying …

To ensure the safety of an automation system, fault detection (FD) has become an active
research topic. With the development of artificial intelligence, model-free FD strategies have …

Battery-powered intelligent transportation systems (BPITS) are growing at an alarming rate,
and a problem that cannot be ignored is that the safety of battery packs is currently the weak …

Due to the harsh working conditions and high cost of data acquisition in the actual
environment of modern rolling mills, the resulting limited datasets issue leading in …