Fault detection and diagnosis (FDD) systems are developed to characterize normal
variations and detect abnormal changes in a process plant. It is always important for early …

There is an increasing demand for dynamic systems to become more safe and reliable. This
requirement extends beyond the normally accepted safety-critical systems of nuclear …

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 …

The high-end equipment intelligent manufacturing (HEIM) industry is of strategic importance
to national and economic security. Engineering management (EM) for HEIM is a complex …

Industrial needs are evolving fast towards more flexible manufacture schemes. As a
consequence, it is often required to adapt the plant production to the demand, which can be …

Dataclusteringisacommontechniqueforstatis…, whichisusedin many? elds, including
machine learning, data mining, pattern recognition, image analysis and bioinformatics …

The pharmaceutical industry is under growing pressure to increase efficiency, both in
production and in process development. This paper discusses the central role of Process …

Partitioning a time-series into internally homogeneous segments is an important data-mining
problem. The changes of the variables of a multivariate time-series are usually vague and …

It is essential and challenging to monitor complex industrial processes and thus make an
early warning for abnormal conditions, in particular when no fault samples can be observed …

The available on‐line and in‐line sensor technologies developed for polymerization
reactors from 1990 until today are discussed and critically reviewed. About 600 references …