Advances in Condition Monitoring and Structural Health Monitoring : WCCM 2019 / edited by Len Gelman, Nadine Martin, Andrew A. Malcolm, Chin Kian (Edmund) Liew
Contributor(s): Gelman, Len, editor literario | Martin, Nadine, editor literario | Malcolm, Andrew A, editor literario | (Edmund) Liew, Chin Kian, editor literario
Material type:
E-bookSeries: (Lecture Notes in Mechanical Engineering, 2195-4356); (Engineering (SpringerNature-11647)); (Engineering (R0) (SpringerNature-43712)).Publisher: Singapore : Springer International Publishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XV, 795 páginas) : 504 ilustraciones, 415 ilustraciones a color.ISBN: 9789811591990.Subject: Vibraciones
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA355 2021 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.13032140 |
1. Condition monitoring -- 2. Structural health monitoring -- 3. Non-destructive testing and evaluation.
This book comprises the selected contributions from the 2nd World Congress on Condition Monitoring (WCCM 2019), held in Singapore in December 2019. The contents focus on digitalisation for condition monitoring with the emergence of the fourth industrial revolution (Industry 4.0) and the Industrial Internet-of-Things (IIoT). The book covers latest research findings in the areas of condition monitoring, structural health monitoring, and non-destructive testing which are relevant for many sectors including aerospace, automotive, civil, oil and gas, marine, and manufacturing industries. Different monitoring systems and non-destructive testing methods are discussed to avoid failures, increase lifespans, and reduce maintenance costs of equipment and machinery. The broad scope of the contents will make this book interesting for academics and professionals working in the areas of non-destructive evaluation and condition monitoring.
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