With the concepts of Industry 4.0 and smart manufacturing gaining popularity, there is a
growing notion that conventional manufacturing will witness a transition toward a new …

Forecasting of fast fluctuated and high-frequency financial data is always a challenging
problem in the field of economics and modelling. In this study, a novel hybrid model with the …

Induction motor is the main drive power in modern manufacturing, and timely fault diagnosis
of induction motor is of significance to production safety, part quality and maintenance cost …

The treatment of industrial wastewater is becoming increasingly important due to growing
environmental concerns. Untreated wastewater carries hazardous substances that can …

Quick process shift detection and lower out-of-control run length are essential for monitoring
the production process, especially in modern smart manufacturing. Specifically, the out-of …

Many industrial processes are equipped with a large number of sensors, which usually
generate multichannel high-dimensional profiles that can be used to monitor the health …

The primary objective of this study is to propose and verify a new synergistic prediction-
based multivariate process quality control (MPQC) approach for manufacturing processes …

The activity of scheduling the production plan with the aim of achieving an optimal criterion
has been explored in literature for several manufacturing sectors, in particular when it comes …

As one classical anomaly detection technology, support vector data description (SVDD) has
been successfully applied to nonlinear chemical process monitoring. However, the basic …

Modern industrial processes are increasingly complex, where multiple characteristics
usually coexist in process data. Therefore, traditional monitoring methods based on a single …