Structural health monitoring : a machine learning perspective : [electronic book] /
By: Farrar, C. R. (Charles R.) [editor.].
Contributor(s): Worden, K [author.] | ProQuest [vendor].
Publisher: Chichester, West Sussex, U.K. : Wiley, 2012Description: 1 online resource.Content type: text | text Media type: computer | computer Carrier type: online resource | online resourceISBN: 9781118443217; 9781118443217:; 1118443217.Subject(s): Structural health monitoring | Machine learningOnline resources: Access ebook hereItem type | Current library | Call number | Status | Date due | Barcode | Item holds |
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Ebook | ATU Sligo Yeats Library Electronic Resource | Proquest Ebook (Browse shelf(Opens below)) | Available Online |
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Includes appendices, bibliographical references and index.
Introduction -- Historical overview -- Operational evaluation -- Sensing and data acquisition -- Case Studies -- Introduction to probability and statistics -- Damage-sensitive features -- Features based on deviations from linear response -- Machine learning and statistical pattern recognition -- Unsupervised learning -- Supervised learning -- Data normalisation -- Fundamental axioms of structural health monitoring -- Damage prognosis.
Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM. It is a comprehensive text on the general problem of structural health monitoring.