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Diagnosis of Process Nonlinearities and Valve Stiction
were published in the series as the contributed volume, Process Control Performance Assessment: From Theory to Implementation with Andrzej Ordys, Damian Uduehi, and Michael Johnson as Editors (ISBN 978-1-84628-623-0, 2007). Along with this good progress in process controller assessment methods, researchers have also been investigating techniques to diagnose what is causing the process or control loop degradation. This requires the use of on-line data to identify faults via new diagnostic indicators of typical process problems. A significant focus of some of this research has been the issue of valve problems; a research direction that has been motivated by some industrial statistics that show...
Reflections of a Lone Traveller
He is not one among the ‘rich and famous’. It is the narration of a very ordinary man, about an eventful journey in his life. He has enjoyed success in life, failures due to his mistakes and negligence of others as well as disappointment due to the treachery of some business associates. He has never shied away from facing his weaknesses or from projecting his strength. His only prayer is that, if some of the readers find that his perseverance in life encourages and inspires them to explore the vast opportunities spread, provides insight to be cautious at the treacherous sweet-talk of some opportunists who want to take advantage, he considers that his mission in writing this reflection, has accomplished its purpose.
Unsustainable Oil
"Sustainable development is, for government and industry at least, primarily a way of turning trees into lumber, tar into oil, and critique into consent; a way to defend the status quo of growth at any cost." —from the Introduction In Unsustainable Oil: Facts, Counterfacts and Fictions, Jon Gordon makes the case for re-evaluating the theoretical, political, and environmental issues around petroleum extraction. Doing so, he argues, will reinvigorate our understanding of the culture and the ethics of energy production in Canada. Rather than looking for better facts or better interpretations of the facts, Gordon challenges us to embrace the future after oil. Reading fiction can help us understand the cultural-ecological crisis that we inhabit. In Unsustainable Oil, using the lens of Alberta’s bituminous sands, he asks us to consider literature’s potential to open space for creative alternatives.
Process Dynamics and Control
The new 4th edition of Seborg’s Process Dynamics Control provides full topical coverage for process control courses in the chemical engineering curriculum, emphasizing how process control and its related fields of process modeling and optimization are essential to the development of high-value products. A principal objective of this new edition is to describe modern techniques for control processes, with an emphasis on complex systems necessary to the development, design, and operation of modern processing plants. Control process instructors can cover the basic material while also having the flexibility to include advanced topics.
Control Performance Management in Industrial Automation
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 detection and solution of problems with control loops that are vital in maintaining product quality, operational safety, and efficiency of material and energy consumption in the process industries. The monograph deals with all aspects of control performance management (CPM), from controller assessment (minimum-variance-control-based and advanced methods), to detection and diagnosis of control loop problems (process non-linearities, oscillations, actuator faults), to the improvement of control performance (maintenance, ...
Convolutional Neural Networks for Medical Image Processing Applications
The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology and developments in artificial intelligence (AI) are among the most important ones. The improving technology and our ability to harness the technology effectively by means such as AI have led to unprecedented advances, resulting in early diagnosis of diseases. AI algorithms enable the fast and early evaluation of images from medical devices to maximize the benefits. While developments in the field of AI were quickly adapted to the field of health, in some cases this contribu...
Dal and Rice
"In 1914 Godfrey Davis arrived in India, a junior officer in the Indian Civil Service. When he reluctantly returned to England thirty years later he was a high court judge with a knighthood and a great love for India. He sympathized with the independence movement and shared a mutual admiration and friendship with Mahatma Gandhi." "Wendy Davis inherited this affection for India and its people. In Dal and Rice she chronicles the memories of her childhood and offers a poignant and measured character study of her father. Her story is part social history, part travelogue, but mostly a very personal account of a relationship with an exotic, chaotic, and often mysterious country." "Avoiding political or ideological perspectives, Wendy Davis has written a fascinating memoir that depicts an extraordinary childhood and a vanished way of life." --Résumé de l'éditeur.
Dynamic Modeling, Predictive Control and Performance Monitoring
A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model; 2. derivation of the output predictor from the model; 3. design of the control law or calculation of performance indices according to the predictor. Both design problems need an explicit model form and both require this three-step design procedure. Can this design procedure be simplified? Can an explicit model be avoided? With these questions in mind, the authors eliminate the first and second step of the above design procedure, a “data-driven” approach in the sense that no traditional parametric models are used; hence, the intermediate subspace matrices, which are obtained from the process data and otherwise identified as a first step in the subspace identification methods, are used directly for the designs. Without using an explicit model, the design procedure is simplified and the modelling error caused by parameterization is eliminated.
