Big data analytics in chemical engineering
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 …
operational decisions. As the chemical engineering community is collecting more data …
The 5w's for control as part of industry 4.0: Why, what, where, who, and when—A PID and MPC control perspective
The advent of Industry 4.0 (I4. 0) has pushed technology beyond its physical limits, making
the process prone to errors and poorer performance. Whether it is about smart …
the process prone to errors and poorer performance. Whether it is about smart …
Controller performance monitoring: A survey of problems and a review of approaches from a data-driven perspective with a focus on oscillations detection and …
Optimal operations of industrial control systems require rigorous monitoring to ensure safety,
increase profitability, and minimize plant maintenance downtime. Thus, controller …
increase profitability, and minimize plant maintenance downtime. Thus, controller …
Review and comparison of techniques of analysis of valve stiction: From modeling to smart diagnosis
RB di Capaci, C Scali - Chemical Engineering Research and Design, 2018 - Elsevier
The importance of evaluating valve conditions and detecting the onset of possible
malfunctions is recognized as a key issue in control performance monitoring, as they may …
malfunctions is recognized as a key issue in control performance monitoring, as they may …
Detection and time–frequency analysis of multiple plant-wide oscillations using adaptive multivariate intrinsic chirp component decomposition
Analyzing plant-wide oscillations is a challenging task owing to the presence of noise,
nonstationarity, and multiple modes in a process control system. Multivariate intrinsic chirp …
nonstationarity, and multiple modes in a process control system. Multivariate intrinsic chirp …
Complex probabilistic slow feature extraction with applications in process data analytics
Today, in modern industrial processes, thousands of correlated process variables are
measured and stored. Dimension reduction techniques are often employed to construct …
measured and stored. Dimension reduction techniques are often employed to construct …
Oscillation detection in process industries–Part I: Review of the detection methods
JWV Dambros, JO Trierweiler, M Farenzena - Journal of Process Control, 2019 - Elsevier
Oscillatory control loop is a frequent problem in process industries. Its incidence reduces
product uniformity and increases both energy consumption and raw material waste. These …
product uniformity and increases both energy consumption and raw material waste. These …
Control performance monitoring and degradation recovery in automatic control systems: A review, some new results, and future perspectives
This paper addresses control performance monitoring (CPM) and degradation recovering in
automatic control systems. It begins with a re-visit of CPM techniques and a summary of the …
automatic control systems. It begins with a re-visit of CPM techniques and a summary of the …
Valve stiction detection through improved pattern recognition using neural networks
A non-invasive method for detecting valves suffering from stiction using multi-layer feed-
forward neural networks (NN) is proposed, via a simple class-based diagnosis. The …
forward neural networks (NN) is proposed, via a simple class-based diagnosis. The …
Performance assessment of predictive control—A survey
PD Domański - Algorithms, 2020 - mdpi.com
Model Predictive Control constitutes an important element of any modern control system.
There is growing interest in this technology. More and more advanced predictive structures …
There is growing interest in this technology. More and more advanced predictive structures …