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Control performance management in industrial automation: assessment, diagnosis and improvement of control loop performance
M Jelali - 2012 - books.google.com
Control Performance Management in Industrial Automation provides a coherent and self-
contained treatment of a group of methods and applications of burgeoning importance to the …
contained treatment of a group of methods and applications of burgeoning importance to the …
Detection and diagnosis of stiction in control loops: state of the art and advanced methods
The presence of non-linearities, such as stiction and deadband, places limits on the
performance of control valves. Indeed, in the process industries, stiction is the most common …
performance of control valves. Indeed, in the process industries, stiction is the most common …
Statistical process monitoring as a big data analytics tool for smart manufacturing
With ever-accelerating advancement of information, communication, sensing and
characterization technologies, such as industrial Internet of Things (IoT) and high-throughput …
characterization technologies, such as industrial Internet of Things (IoT) and high-throughput …
Modelling valve stiction
The presence of nonlinearities, eg, stiction, and deadband in a control valve limits the
control loop performance. Stiction is the most commonly found valve problem in the process …
control loop performance. Stiction is the most commonly found valve problem in the process …
Recursive transformed component statistical analysis for incipient fault detection
This paper presents a new data-driven process monitoring method called recursive
transformed component statistical analysis (RTCSA) for the purpose of incipient fault …
transformed component statistical analysis (RTCSA) for the purpose of incipient fault …
Introducing hypergraph signal processing: Theoretical foundation and practical applications
Signal processing over graphs has recently attracted significant attention for dealing with the
structured data. Normal graphs, however, only model pairwise relationships between nodes …
structured data. Normal graphs, however, only model pairwise relationships between nodes …
Multivariate statistical process monitoring based on statistics pattern analysis
In this work, a new multivariate method to monitor continuous processes is developed based
on the statistics pattern analysis (SPA) framework. The SPA framework was proposed …
on the statistics pattern analysis (SPA) framework. The SPA framework was proposed …
Automatic detection and quantification of stiction in control valves
Stiction is a common problem in spring-diaphragm type valves, which are widely used in the
process industry. Although there have been many attempts to understand and detect stiction …
process industry. Although there have been many attempts to understand and detect stiction …
Advances and new directions in plant-wide disturbance detection and diagnosis
This article reviews advances in detection and diagnosis of plant-wide control system
disturbances in chemical processes and discusses new directions that look promising for the …
disturbances in chemical processes and discusses new directions that look promising for the …
A practical method for identifying the propagation path of plant-wide disturbances
Disturbances in a continuous process often travel along the product stream and affect the
performance of the process. To isolate the root cause and find the path along which the …
performance of the process. To isolate the root cause and find the path along which the …