Bye Richard (22 results)

Paperback. Condition: Brand New. 124 pages. 8.50x5.50x0.30 inches. In Stock. Wride, Sue; Wride, Karen (illustrator).

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Paperback. Condition: 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.…

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

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

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Wride, Sue; Wride, Karen (illustrator).

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. pp. 180.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: 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.…

Condition: New. pp. 180.

Condition: New.

Condition: New. In English.

Single Issue Magazine. Condition: Good. First Edition. 148 pages. Features: Does butter have a future?; Bulls to make more beef with less feed; A house to keep pace with your life; Soil tillers - weed killers; Calves are getting better care; Little farm, bountiful life; Record weights at weaning time; Helping others helps us; and more. Clean and unmarked with moderate wear. A nice vintage copy.; Magazine; Folio - over 12" - 15" tall; Country Gentleman, The Magazine for Better Farming, Better Living - February (Feb.) 1951: Does Butter Have a Future? Peter Kautz D.C. McCornack St. Charles Illinois Duane Auer Eldorado Kansas Buick Lloyd Alexander Wooster Ohio Purina John Deere 44H Plow. Illustrated by Ekman, Stan; Hook, Richard; Bye, Ranulph (illustrator).…

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr Nastaran Dadashi is a researcher, educator and a Chartered human factors specialist. She has a PhD in Human Factors (Future Railway Intelligent Infrastructure) from the University of Nottingham (Human Factors Research Group)..…

Condition: New. PRINT ON DEMAND pp. 180.