Golightly richard (44 risultati)

Condizione: New.

Condizione: New.

Paperback. Condizione: New.

paperback. Condizione: Very Good. Very Good. Gently used with NO markings in text; binding is tight. Pasadena's finest independent new and used bookstore since 1992.

Condizione: New. In English.

PF. Condizione: New.

Paperback. Condizione: Brand New. 336 pages. 8.50x5.47x0.83 inches. In Stock.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Kartoniert / Broschiert. Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Paperback. Condizione: New. With the development of sensor technology, wireless communications, big data, and machine learning, there is an increasing interest in technologies and solutions that assess and predict the state of equipment and assets within various industrial settings. These technologies aim to collect information from multiple sources about infrastructure asset status. Then, through current and historical data analysis, this configuration of technologies delivers intelligence on current and future asset status to a maintenance operator or manager to inform optimal maintenance decision-making. These technologies are known under different terms - remote condition monitoring, e-maintenance, prognostic systems, predictive maintenance, and smart or intelligent infrastructure. Despite the promise of remote condition monitoring and predictive technologies, there is a growing concern with such technologies because they can be difficult or impractical to use.Understanding and mitigating potential human factors issues could ensure that such vast investments are not wasted. This book considers, in depth, the challenges placed on users of current and future condition monitoring systems. Its primary focus is to understand the cognitive processes, including managing alarms, interpreting data, and collaborating with automation. The book describes a range of human factors methods that can be used to understand the current and future functioning of people and technology in an enhanced maintenance and asset monitoring context. The book also presents a framework for describing these issues systematically and presents the resulting design considerations to increase the effectiveness of individual operators and organisations as a whole.…

Condizione: As New. Unread book in perfect condition.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. In English.

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: Brand New. 154 pages. 9.18x6.12x9.21 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New.

Condizione: New.

Condizione: New. pp. 180.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New. With the development of sensor technology, wireless communications, big data, and machine learning, there is an increasing interest in technologies and solutions that assess and predict the state of equipment and assets within various industrial settings. These technologies aim to collect information from multiple sources about infrastructure asset status. Then, through current and historical data analysis, this configuration of technologies delivers intelligence on current and future asset status to a maintenance operator or manager to inform optimal maintenance decision-making. These technologies are known under different terms - remote condition monitoring, e-maintenance, prognostic systems, predictive maintenance, and smart or intelligent infrastructure. Despite the promise of remote condition monitoring and predictive technologies, there is a growing concern with such technologies because they can be difficult or impractical to use.Understanding and mitigating potential human factors issues could ensure that such vast investments are not wasted. This book considers, in depth, the challenges placed on users of current and future condition monitoring systems. Its primary focus is to understand the cognitive processes, including managing alarms, interpreting data, and collaborating with automation. The book describes a range of human factors methods that can be used to understand the current and future functioning of people and technology in an enhanced maintenance and asset monitoring context. The book also presents a framework for describing these issues systematically and presents the resulting design considerations to increase the effectiveness of individual operators and organisations as a whole.…

Condizione: New. pp. 180.

Condizione: New.