The exploration and development of resources and energy are fundamental to human
survival and development, and geological drilling is a key method for deep resource and …

Abstract Task-Free Continual Learning (TFCL) presents a notably demanding but realistic
ongoing learning concept, aiming to address catastrophic forgetting in sequential learning …

In this article, a novel time-constrained global and local nonlinear analytic stationary
subspace analysis (Tc-GLNASSA) is proposed to enhance blast furnace ironmaking process …

Detecting faults in blast furnace ironmaking process (BFIP) remains a challenging task due
to the hybrid properties involving dynamics and nonstationarity. To address this problem …

Load fluctuations, unexpected disturbances, and switching of operating states typically make
actual industrial processes exhibit nonstationary. In nonstationary processes, the statistical …

The complexity of coupled multivariate data in industrial settings often limits the
effectiveness of principal component analysis (PCA) in revealing patterns and structures in …

Moving target detection (MTD) is a crucial task in computer vision applications. In this paper,
we investigate the problem of detecting moving targets in infrared (IR) surveillance video …

Condition monitoring is a fundamental task in the reliability engineering and operation
management of a complex industrial system. It aims to detect faults based on sensing data …

The multiple distinct yet related manufacturing processes running in a shop floor usually
necessitates modeling these processes individually. However, the amount of collected data …

Data-driven process monitoring is an effective approach to assure safe operation of modern
manufacturing and energy systems, such as thermal power plants being studied in this work …