Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance - Couverture rigide
Synopsis
The objective of this Special Issue is to highlight applications of legacy and next-generation sensors along with advanced analytic techniques for machinery monitoring. The Issue presents novel sensor concepts, designs, and applications that support advanced decision-making approaches by incorporating sensors, real-time decision-making methods, and operational policies. Industrial sensors play a critical role in the advancement of smart manufacturing with growing demand for integrated smart systems in which most sensors, designs, and operations are digitalized to enhance reliability, efficiency, and data-driven insights. This Special Issue addresses current limitations and key advancements in sensors for machinery condition monitoring, diagnostics, prognostics, and maintenance, while also considering legacy operations and emerging system types.
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Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance (Hardcover)
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Hardcover. Etat : new. Hardcover. The objective of this Special Issue is to highlight applications of legacy and next-generation sensors along with advanced analytic techniques for machinery monitoring. The Issue presents novel sensor concepts, designs, and applications that support advanced decision-making approaches by incorporating sensors, real-time decision-making methods, and operational policies. Industrial sensors play a critical role in the advancement of smart manufacturing with growing demand for integrated smart systems in which most sensors, designs, and operations are digitalized to enhance reliability, efficiency, and data-driven insights. This Special Issue addresses current limitations and key advancements in sensors for machinery condition monitoring, diagnostics, prognostics, and maintenance, while also considering legacy operations and emerging system types. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783725854615
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Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance
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Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance
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Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance
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Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance (Hardcover)
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Hardcover. Etat : new. Hardcover. The objective of this Special Issue is to highlight applications of legacy and next-generation sensors along with advanced analytic techniques for machinery monitoring. The Issue presents novel sensor concepts, designs, and applications that support advanced decision-making approaches by incorporating sensors, real-time decision-making methods, and operational policies. Industrial sensors play a critical role in the advancement of smart manufacturing with growing demand for integrated smart systems in which most sensors, designs, and operations are digitalized to enhance reliability, efficiency, and data-driven insights. This Special Issue addresses current limitations and key advancements in sensors for machinery condition monitoring, diagnostics, prognostics, and maintenance, while also considering legacy operations and emerging system types. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9783725854615
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Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance (Hardcover)
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Hardcover. Etat : new. Hardcover. The objective of this Special Issue is to highlight applications of legacy and next-generation sensors along with advanced analytic techniques for machinery monitoring. The Issue presents novel sensor concepts, designs, and applications that support advanced decision-making approaches by incorporating sensors, real-time decision-making methods, and operational policies. Industrial sensors play a critical role in the advancement of smart manufacturing with growing demand for integrated smart systems in which most sensors, designs, and operations are digitalized to enhance reliability, efficiency, and data-driven insights. This Special Issue addresses current limitations and key advancements in sensors for machinery condition monitoring, diagnostics, prognostics, and maintenance, while also considering legacy operations and emerging system types. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783725854615
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Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The objective of this Special Issue is to highlight applications of legacy and next-generation sensors along with advanced analytic techniques for machinery monitoring. The Issue presents novel sensor concepts, designs, and applications that support advanced decision-making approaches by incorporating sensors, real-time decision-making methods, and operational policies. Industrial sensors play a critical role in the advancement of smart manufacturing with growing demand for integrated smart systems in which most sensors, designs, and operations are digitalized to enhance reliability, efficiency, and data-driven insights. This Special Issue addresses current limitations and key advancements in sensors for machinery condition monitoring, diagnostics, prognostics, and maintenance, while also considering legacy operations and emerging system types. N° de réf. du vendeur 9783725854615
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Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance
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Buch. Etat : Neu. Sensors for Machine Condition Monitoring, Diagnostics, Prognostics and Maintenance | Buch | Englisch | 2025 | MDPI AG | EAN 9783725854615 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134376367
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