Algorithms for Fault Detection and Diagnosis
Language: English
Published by MDPI AG, 2021
- Hardcover
- Used
Condition: Used - Fine
£ 35.64
Quantity: 1 available
Add to basketItem description from seller
Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Due to the increasing demand for security and reliability in manufacturing and mechatronic systems, early detection and diagnosis of faults are key points to reduce economic losses caused by unscheduled maintenance and downtimes, to increase safety, to prevent the endangerment of human beings involved in the process operations and to improve reliability and availability of autonomous systems. The development of algorithms for health monitoring and fault and anomaly detection, capable of the early detection, isolation, or even prediction of technical component malfunctioning, is becoming more and more crucial in this context. This Special Issue is devoted to new research efforts and results concerning recent advances and challenges in the application of "Algorithms for Fault Detection and Diagnosis", articulated over a wide range of sectors. The aim is to provide a collection of some of the current state-of-the-art algorithms within this context, together with new advanced theoretical solutions.…
Seller Inventory # 37707151/2
- Title
- Algorithms for Fault Detection and Diagnosis
- Author
- Unbekannt
- Publisher
- MDPI AG
- Publication year
- 2021
- Condition
- Sehr gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3036504621
- ISBN 13
- 9783036504629
- Seller catalogs
- Bücher
Due to the increasing demand for security and reliability in manufacturing and mechatronic systems, early detection and diagnosis of faults are key points to reduce economic losses caused by unscheduled maintenance and downtimes, to increase safety, to prevent the endangerment of human beings involved in the process operations and to improve reliability and availability of autonomous systems. The development of algorithms for health monitoring and fault and anomaly detection, capable of the early detection, isolation, or even prediction of technical component malfunctioning, is becoming more and more crucial in this context. This Special Issue is devoted to new research efforts and results concerning recent advances and challenges in the application of "Algorithms for Fault Detection and Diagnosis", articulated over a wide range of sectors. The aim is to provide a collection of some of the current state-of-the-art algorithms within this context, together with new advanced theoretical solutions.
"Synopsis" may belong to another edition of this title.
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