Principal component analysis is one of the most important and powerful methods in
chemometrics as well as in a wealth of other areas. This paper provides a description of how …

The Internet of Things (IoT) is enabled by the latest developments in smart sensors,
communication technologies, and Internet protocols with broad applications. Collecting data …

Data mining and analytics have played an important role in knowledge discovery and
decision making/supports in the process industry over the past several decades. As a …

PLS-regression (PLSR) is the PLS approach in its simplest, and in chemistry and
technology, most used form (two-block predictive PLS). PLSR is a method for relating two …

For engineering systems where processes, units, and equipment are designed with clear
objectives and are usually operated under well‐controlled circumstances as designed …

Dimensionality reduction is important for the high-dimensional nature of data in the process
industry, which has made latent variable modeling methods popular in recent years. By …

This paper provides an overview and analysis of statistical process monitoring methods for
fault detection, identification and reconstruction. Several fault detection indices in the …

This book is an introduction to the field of multi-way analysis for chemists and
chemometricians. Its emphasis is on the ideas behind the method and its pratical …

Soft Sensors for Monitoring and Control of Industrial Processes | SpringerLink Skip to main
content Advertisement SpringerLink Log in Menu Find a journal Publish with us Search Cart …

Data analysis has become a fundamental task in analytical chemistry due to the great
quantity of analytical information provided by modern analytical instruments. Supervised …