9780470028193 - Statistical Monitoring of Complex Multivariate Processes: With Applications in Industrial Process Control di Kruger, Uwe; Xie, Lei (16 risultati)

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Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 480.

Condizione: New. Statistical Monitoring of Complex Multivariate Processes summarizes recent advances in statistical-based process monitoring of complex multivariate process systems. The book includes a broad range of applications of multivariate statistical techniques into the area of mechanical, manufacturing, and power engineering. Series: Statistics in Practice. Num Pages: 480 pages, Illustrations. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 237 x 154 x 26. Weight in Grams: 704. . 2012. 1st Edition. Hardcover. . . . .

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Condizione: New. pp. 480 Index.

Condizione: New. Statistical Monitoring of Complex Multivariate Processes summarizes recent advances in statistical-based process monitoring of complex multivariate process systems. The book includes a broad range of applications of multivariate statistical techniques into the area of mechanical, manufacturing, and power engineering. Series: Statistics in Practice. Num Pages: 480 pages, Illustrations. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 237 x 154 x 26. Weight in Grams: 704. . 2012. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Gebunden. Condizione: New. Uwe Kruger, The Petroleum Institute, Abu Dhabi, United Arab Emirates Lei Xie, Institute of Cyber-Systems & Control, Zhejiang University, ChinaThe development and application of multivariate statistical techniques in process monitoring has gained substan.

Buch. Condizione: Neu. Neuware - The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering. The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applications. In contrast, competitive model, signal or knowledge based techniques showed their potential only whenever cost-benefit economics have justified the required effort in developing applications.Statistical Monitoring of Complex Multivariate Processes presents recent advances in statistics based process monitoring, explaining how these processes can now be used in areas such as mechanical and manufacturing engineering for example, in addition to the traditional chemical industry.This book:\* Contains a detailed theoretical background of the component technology.\* Brings together a large body of work to address the field's drawbacks, and develops methods for their improvement.\* Details cross-disciplinary utilization, exemplified by examples in chemical, mechanical and manufacturing engineering.\* Presents real life industrial applications, outlining deficiencies in the methodology and how to address them.\* Includes numerous examples, tutorial questions and homework assignments in the form of individual and team-based projects, to enhance the learning experience.\* Features a supplementary website including Matlab algorithms and data sets.This book provides a timely reference text to the rapidly evolving area of multivariate statistical analysis for academics, advanced level students, and practitioners alike.

Hardcover. Condizione: Brand New. 1st edition. 480 pages. 9.50x6.25x1.00 inches. In Stock. This item is printed on demand.

Hardcover. Condizione: new. Hardcover. The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering. The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applications. In contrast, competitive model, signal or knowledge based techniques showed their potential only whenever cost-benefit economics have justified the required effort in developing applications. Statistical Monitoring of Complex Multivariate Processes presents recent advances in statistics based process monitoring, explaining how these processes can now be used in areas such as mechanical and manufacturing engineering for example, in addition to the traditional chemical industry. This book: Contains a detailed theoretical background of the component technology.Brings together a large body of work to address the fields drawbacks, and develops methods for their improvement.Details cross-disciplinary utilization, exemplified by examples in chemical, mechanical and manufacturing engineering.Presents real life industrial applications, outlining deficiencies in the methodology and how to address them.Includes numerous examples, tutorial questions and homework assignments in the form of individual and team-based projects, to enhance the learning experience.Features a supplementary website including Matlab algorithms and data sets. This book provides a timely reference text to the rapidly evolving area of multivariate statistical analysis for academics, advanced level students, and practitioners alike. Statistical Monitoring of Complex Multivariate Processes summarizes recent advances in statistical-based process monitoring of complex multivariate process systems. The book includes a broad range of applications of multivariate statistical techniques into the area of mechanical, manufacturing, and power engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.