Null subspace-based damage detection of structures using vibration measurements
Ai-Min Yan,Jean-Claude Golinval +1 more
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TLDR
In this article, a damage detection method of mechanical system based on subspace identification concepts and statistical process techniques is presented, where measured time-responses of structures subjected to artificial or environmental vibrations are assembled to form the Hankel matrix, which is further factorised by performing singular value decomposition to obtain characteristic subspaces.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2006-04-01 and is currently open access. It has received 111 citations till now. The article focuses on the topics: Subspace topology & Linear subspace.read more
Figures
Fig. 7. View of the cracks. 
Fig. 10. Normalised indicators in the last hour. 
Fig. 4. Subspace angles by NSA and PCA as damage indicator. 
Fig. 5. Normalised damage indicators increase with damage levels. 
Table 1 Tests on aircraft model taking subspace angle as damage indicator by NSA and PCA 
Fig. 3. Singular values of Hankel matrix vs. the number of principal components.
Citations
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Journal ArticleDOI
Distinguishing between sensor fault, structural damage, and environmental or operational effects in structural health monitoring
TL;DR: In this paper, the sensor network is modelled as a Gaussian process and the generalized likelihood ratio test (GLRT) is then used to detect and localize a change in the system.
Journal ArticleDOI
Fault detection based on Kernel Principal Component Analysis
TL;DR: In this paper, the authors proposed a Kernel PCA (KPCA) based method for fault detection in mechanical systems using subspaces between the reference and a current state of the system through the concept of subspace angle.
Journal ArticleDOI
Subspace-based gearbox condition monitoring by kernel principal component analysis
TL;DR: Experimental analysis with a fatigue test of an automobile transmission gearbox shows that the KPCA features outperform PCA features in terms of clustering capability, and both the two K PCA-based subspace methods can be effectively applied to gearbox condition monitoring.
Journal ArticleDOI
Frequency response function interpolation for damage detection under changing environment
TL;DR: Results show that, despite the changes of temperature, the IDDM provides a correct identification of damage location even for cases where the evolution of modal frequencies belies the actual damaged state of the structure.
Journal ArticleDOI
Subspace-based damage detection under changes in the ambient excitation statistics
TL;DR: In this paper, an efficient and fast subspace-based damage detection test is derived that is robust to changes in the excitation covariance but also to numerical instabilities that can arise easily in the computations.
References
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Book
Subspace Identification for Linear Systems: Theory - Implementation - Applications
Peter Van Overschee,Bart De Moor +1 more
TL;DR: This book focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finitedimensional dynamical systems, which allow for a fast, straightforward and accurate determination of linear multivariable models from measured inputoutput data.
Journal ArticleDOI
Reference-based stochastic subspace identification for output-only modal analysis
Bart Peeters,Guido De Roeck +1 more
TL;DR: In this paper, a novel approach of stochastic subspace identification is presented that incorporates the idea of the reference sensors already in the identification step: the row space of future outputs is projected into the rowspace of past reference outputs.
Journal ArticleDOI
Damage diagnosis using time series analysis of vibration signals
Hoon Sohn,Charles R. Farrar +1 more
TL;DR: In this paper, a data normalization procedure is proposed to locate damage sources in a mechanical system, which is running in various operational environments, by solely analyzing the acceleration time histories recorded from a structure of interest, based on the assumption that if there were damage in the structure, the prediction model previously identified using the undamaged time history would not reproduce the newly obtained time series measured from the damaged structure.
Journal ArticleDOI
Damage detection using outlier analysis
TL;DR: The concept of discordancy from the statistical discipline of outlier analysis is used to signal deviance from the norm in a statistical method for damage detection.
Journal ArticleDOI
Modal testing and analysis of structures under operational conditions: industrial applications
L. Hermans,H. Van der Auweraer +1 more
TL;DR: In this paper, the output-only modal analysis has typically been approached by applying a peak-picking technique to the auto and cross-powers of the measured responses, resulting in operational deflection shapes and approximate estimates for the resonance frequencies.
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