Real Time Fault Monitoring of Industrial Processes, A.D. Pouliezos; George S. Stavrakakis
Автор: A.D. Pouliezos; George S. Stavrakakis Название: Real Time Fault Monitoring of Industrial Processes ISBN: 0792327373 ISBN-13(EAN): 9780792327370 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an exposition of fault monitoring methods in industrial processes and structures. Model-based methods (simple tests, analytical redundancy, parameter estimation), knowledge-based methods, artificial neural network methods, and nondestructive testing are explained in detail.
Описание: Dr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial automation processes. With aid of the so-called Youla parameterization, a novel PnP process monitoring and control architecture (PnP-PMCA) with modularized components is proposed. To validate the developments, a case study on an industrial rolling mill benchmark is performed, and the real-time implementation on a laboratory brushless DC motor is presented.
Описание: This thesis introduces a successfully designed and commissioned intelligent health monitoring system, specifically for use on any industrial robot, which is able to predict the onset of faults in the joints of the geared transmissions. However the developed embedded wireless condition monitoring system leads itself very well for applications on any power transmission equipment in which the loads and speeds are not constant, and access is restricted. As such this provides significant scope for future development. Three significant achievements are presented in this thesis. First, the development of a condition monitoring algorithm based on vibration analysis of an industrial robot for fault detection and diagnosis. The combined use of a statistical control chart with time-domain signal analysis for detecting a fault via an arm-mounted wireless processor system represents the first stage of fault detection. Second, the design and development of a sophisticated embedded microprocessor base station for online implementation of the intelligent condition monitoring algorithm, and third, the implementation of a discrete wavelet transform, using an artificial neural network, with statistical feature extraction for robot fault diagnosis in which the vibration signals are first decomposed into eight levels of wavelet coefficients.
Автор: Doris A. Saez; Aldo Cipriano; Andrzej W. Ordys Название: Optimisation of Industrial Processes at Supervisory Level ISBN: 1447110811 ISBN-13(EAN): 9781447110811 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph presents new methodologies to improve power plants` efficiency, by using automatic control algorithms. This will lead to an improvement in companies` profit and also in the quality of their final product. A trans-Atlantic combination of authors ensures an unusually wide range of perspectives.
Автор: Luigi Fortuna; Salvatore Graziani; Alessandro Rizz Название: Soft Sensors for Monitoring and Control of Industrial Processes ISBN: 1849966087 ISBN-13(EAN): 9781849966085 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation.
Автор: Yucai Zhu; Ton Backx Название: Identification of Multivariable Industrial Processes ISBN: 1447120604 ISBN-13(EAN): 9781447120605 Издательство: Springer Рейтинг: Цена: 13060.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Identification of Multivariable Industrial Processes presents a unified approach to multivariable industrial process identification. It concentrates on industrial processes with reference to model applications. This publication is intended to fill the gap between modern systems and control theory and industrial application.
Автор: Doris A. Saez; Aldo Cipriano; Andrzej W. Ordys Название: Optimisation of Industrial Processes at Supervisory Level ISBN: 1852333863 ISBN-13(EAN): 9781852333867 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph presents new methodologies to improve power plants` efficiency, by using automatic control algorithms. This will lead to an improvement in companies` profit and also in the quality of their final product. A trans-Atlantic combination of authors ensures an unusually wide range of perspectives.
Автор: Zhiwen Chen Название: Data-Driven Fault Detection for Industrial Processes ISBN: 3658167556 ISBN-13(EAN): 9783658167554 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes.
Автор: Nikolai K. Myshkin; Liubou V. Markova Название: On-line Condition Monitoring in Industrial Lubrication and Tribology ISBN: 331961133X ISBN-13(EAN): 9783319611334 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers readers a concise yet comprehensive introduction to a set of diagnostic methods for on-line condition monitoring of lubricated tribosystems used in industry. It covers the latest trends in on-line tribodiagnostics, an important and rapidly developing area of tribology. The book also reports on new tools as they have been developed and applied by the authors. A special emphasis is given to the physical fundamentals of opto-magnetic detectors, ferro-analyzers and analyzers of metal particles in lubricated tribosystems, as well as fluorescence methods for real-time oil monitoring in compressors, hydraulic systems and electrical transformers. Further, the book discusses other important issues such as the monitoring of water content in oil, and presents techniques for measuring soot content in oil in diesel engine oils. Lastly, it describes the modular intelligent (SMART) diagnostic system for vehicles. Mainly intended for researchers, industrial and automotive engineers developing cost-effective techniques and sensors for the on-line monitoring of lubricating oil, the book also offers a valuable source of information for students and project managers in the manufacturing, energy, oil and gas, and automotive industry.
Автор: Fan Yang; Ping Duan; Sirish L. Shah; Tongwen Chen Название: Capturing Connectivity and Causality in Complex Industrial Processes ISBN: 3319053795 ISBN-13(EAN): 9783319053790 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Examples of Applications for Connectivity and Causality Analysis.- Description of Connectivity and Causality.- Capturing Connectivity and Causality from Process Knowledge.- Capturing Causality from Process Data.- Case Studies.
Описание: Introduction.- Concurrent monitoring of steady state and process dynamics with SFA.- Online monitoring and diagnosis of control performance with SFA and contribution plots.- Recursive SFA algorithm and adaptive monitoring system design.- Probabilistic SFR model and its applications in dynamic quality prediction.- Improved DPLS model with temporal smoothness and its applications in dynamic quality prediction.- Nonlinear and dynamic soft sensing model based on Bayesian framework.- Summary and open problems.
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