Today, we are undoubtedly in the era of data. Big Data Analytics (BDA) is no longer a
perspective for all level of the organization. This is of special interest in the manufacturing …

Big data analytics is the journey to turn data into insights for more informed business and
operational decisions. As the chemical engineering community is collecting more data …

Many industrial processes contain both linear and nonlinear parts, and kernel principal
component analysis (KPCA), widely used in nonlinear process monitoring, may not offer the …

Process monitoring systems are necessary for ensuring the long-term reliability of the
operation of industrial systems. This article provides some perspectives on progress in the …

Fault detection and isolation are crucial aspects that need to be considered for the safe and
reliable operation of process systems. The modern industrial process frequently employs …

Against the backdrop of the new-generation intelligent manufacturing and Industrial Internet
of Things, manufacturing processes are evolving towards integration, large-scale …

This paper proposes a common and individual (CnI) feature extraction-based process
monitoring (PM) method for tracking the operating performance and product quality of …

During the last three decades, there has been a growing interest in active fault diagnosis
(AFD) and several important results have been reported in the literature. This survey aims to …

In a hot tandem rolling mill (HTRM) process, the operating performance of mill stands can
determine the quality of steel products, thus, should be properly monitored. Unlike previous …

In this study, we show an effective data-driven identification of the State-of-Health of Lithium-
ion batteries by Nonlinear Frequency Response Analysis. A degradation model based on …