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Structural health monitoringa non-de...

Ganguli, Ranjan.

Structural health monitoringa non-deterministic framework /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Structural health monitoringby Ranjan Ganguli.
其他題名:	a non-deterministic framework /
作者:	Ganguli, Ranjan.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xi, 214 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Structural health monitoring.
電子資源:	https://doi.org/10.1007/978-981-15-4988-5
ISBN:	9789811549885$q(electronic bk.)

Structural health monitoringa non-deterministic framework /
Ganguli, Ranjan.

Structural health monitoringa non-deterministic framework /[electronic resource] :by Ranjan Ganguli. - Singapore :Springer Singapore :2020. - xi, 214 p. :ill., digital ;24 cm.

Introduction -- Damage detection using fuzzy logic and probabilistic simulation -- Damage detection using modal curvature and fuzzy logic -- Damage Detection in Composite plates -- Damage detection in smart composite plates -- Damage growth monitoring in composite plates -- Wavelet based damage detection -- Fractal dimension based damage detection.

This book discusses systems of damage detection and structural health monitoring in mechanical, civil, and aerospace structures. It utilizes principles of fuzzy logic, probability theory, and signal processing to develop systems and approaches that are robust in the presence of both noise in the data and variations in properties of materials which are intrinsic to the process of mass production. This volume will be useful to graduate students, researchers, and engineers working in this area, especially those looking to understand and address model uncertainty in their algorithms.

ISBN: 9789811549885$q(electronic bk.)

Standard No.: 10.1007/978-981-15-4988-5doiSubjects--Topical Terms:

522561
Structural health monitoring.

LC Class. No.: TA656.6 / .G364 2020

Dewey Class. No.: 624.1

Structural health monitoringa non-deterministic framework /
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520 $a This book discusses systems of damage detection and structural health monitoring in mechanical, civil, and aerospace structures. It utilizes principles of fuzzy logic, probability theory, and signal processing to develop systems and approaches that are robust in the presence of both noise in the data and variations in properties of materials which are intrinsic to the process of mass production. This volume will be useful to graduate students, researchers, and engineers working in this area, especially those looking to understand and address model uncertainty in their algorithms.
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650 1 4 $a Vibration, Dynamical Systems, Control. $3 274667
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