Diagnosis of Process Nonlinearities and Valve Stiction Data Driven Approaches /

• Κύριοι συγγραφείς: Choudhury, Shoukat M. A. A. (Συγγραφέας), Shah, Sirish L. (Συγγραφέας), Thornhill, Nina F. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Advances in Industrial Control,
• Θέματα: Engineering.; Control engineering.; Quality control.; Reliability.; Industrial safety.; Control.; Quality Control, Reliability, Safety and Risk.

In this book, Higher Order Statistical (HOS) theory is used to develop indices for detecting and quantifying signal non-Gaussianity and nonlinearity. These indices, together with specific patterns in the mapping of process output and controller output are used to diagnose the causes of poor control...

Πίνακας περιεχομένων:

• Higher-Order Statistics
• Higher-Order Statistics: Preliminaries
• Bispectrum and Bicoherence
• Data Quality – Compression and Quantization
• Impact of Data Compression and Quantization on Data-Driven Process Analyses
• Nonlinearity and Control Performance
• Measures of Nonlinearity – A Review
• Linear or Nonlinear? A Bicoherence-Based Measure of Nonlinearity
• A Nonlinearity Measure Based on Surrogate Data Analysis
• Nonlinearities in Control Loops
• Diagnosis of Poor Control Performance
• Control Valve Stiction~– Definition, Modelling, Detection and Quantification
• Different Types of Faults in Control Valves
• Stiction: Definition and Discussions
• Physics-Based Model of Control Valve Stiction
• Data-Driven Model of Valve Stiction
• Describing Function Analysis
• Automatic Detection and Quantification of Valve Stiction
• Industrial Applications of the Stiction Quantification Algorithm
• Confirming Valve Stiction
• Plant-wide Oscillations – Detection and Diagnosis
• Detection of Plantwide Oscillations
• Diagnosis of Plant-wide Oscillations.