Modern control systems are complex in the sense of implementing numerous functions, such as process variable processing, digital control, process monitoring and alarm indication, graphic visualization of process runni...
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ISBN:
(数字)9783642166532
ISBN:
(纸本)9783642166525;9783642422836
Modern control systems are complex in the sense of implementing numerous functions, such as process variable processing, digital control, process monitoring and alarm indication, graphic visualization of process running, or data exchange with other systems or databases. This book conveys a description of the developed DiaSter system as well as characteristics of advanced original methods of modeling, knowledge discovery, simulator construction, process diagnosis, as well as predictive and supervision control applied in the system. The system allows early recognition of abnormal states of industrial processes along with faults or malfunctions of actuators as well as technological and measuring units. The universality of solutions implemented in DiaSter facilitates its broad application, for example, in the power, chemical, pharmaceutical, metallurgical and food industries. The system is a world-scale unique solution, and due to its open architecture it can be connected practically with any other control systems.
The monograph presents theoretical and practical results of research into fault diagnosis and control conducted over many years within the cooperation of Polish research teams from the Warsaw University of Technology, the University of Zielona Góra, the Silesian University of Technology in Gliwice, and the Technical University of Rzeszów.
The book will be of great interest to researchers and advanced students in automaticcontrol, technical diagnostics and computer engineering, and to engineers tasked with the development of advanced control systems of complex industrial processes.
All real systems in nature - physical, biological and engineering ones - can malfunction and fail due to faults in their components. Logically,the chances for malfunctions increase with the systems' complexity. Th...
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ISBN:
(数字)9783642186158
ISBN:
(纸本)9783540407676;9783642621994
All real systems in nature - physical, biological and engineering ones - can malfunction and fail due to faults in their components. Logically,the chances for malfunctions increase with the systems' complexity. The complexity of engineering systems is permanently growing due to their growing size and the degree of automation, and accordingly increasing is the danger of fail ing and aggravating their impact for man and the environment. Therefore, in the design and operation of engineering systems, increased attention has to be paid to reliability, safety and fault tolerance. But it is obvious that, compared to the high standard of perfection that nature has achieved with its self-healing and self-repairing capabilities in complex biological organisms, fault management in engineering systems is far behind the standards of their technological achievements; it is still in its infancy, and tremendous work is left to be done. In technical control systems, defects may happen in sensors, actuators, components of the controlled object - the plant, or in the hardware or soft ware of the control framework. Such defects in the components may develop into a failure of the whole system. This effect can easily be amplified by the closed loop, but the closed loop may also hide an incipient fault from be ing observed until a situation has occurred in which the failing of the whole system has become unavoidable.
The scientific theme of the book is “Virtualisation – a multifaceted key enabler of Industry 4.0 from holonic to cloud manufacturing” which is addressed in the framework of cyber-physical system development.;The bo...
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ISBN:
(数字)9783031242915
ISBN:
(纸本)9783031242908;9783031274343
The scientific theme of the book is “Virtualisation – a multifaceted key enabler of Industry 4.0 from holonic to cloud manufacturing” which is addressed in the framework of cyber-physical system development.;The book approaches cyber-physical systems for manufacturing with emergent digital technologies: Internet of Things, digital twins (based on the virtualization of production models embedded in the design, virtual commissioning, optimization and resilience of processes and fault tolerance of resources), big data, cloud control and computing, machine learning and cobots, that are applied in the book’s chapters to industry and service sectors such as manufacturing, energy, logistics, construction and health care.;The novelty of this approach consists in interpreting and applying the characteristics of RAMI4.0—the reference architecture model of the Industry 4.0 framework—as combinations of virtualized cyber-physical system elements and IT components in life cycle value stream models.;The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence.;The book’s readership is comprised by researchers and engineers working in the manufacturing value chain area who develop and use digital control solutions in the “Industry of the Future” vision. The book also addresses to master’s and Ph.D. students enrolled in Engineering Sciences programs.
The book provides insights into the theme of the SOHOMA’19 Workshop – ‘Smart anything everywhere – the vertical and horizontal manufacturing integration, ’ addressing ‘Industry of the Future’ (IoF), a term...
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ISBN:
(数字)9783030274771
ISBN:
(纸本)9783030274764
The book provides insights into the theme of the SOHOMA’19 Workshop – ‘Smart anything everywhere – the vertical and horizontal manufacturing integration, ’ addressing ‘Industry of the Future’ (IoF), a term used to describe the 4th industrial revolution initiated by a new generation of adaptive, fully connected, analytical and highly efficient robotized manufacturing systems. This global IoF model describes a new stage of manufacturing, that is fully automatized and uses advanced information, communication and control technologies such as industrial IoT, cyber-physical production systems, cloud manufacturing, resource virtualization, product intelligence, and digital twin, edge and fog computing.
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