Damage detection with small data set using energy-based nonlinear features

Summary This study proposes a new algorithm for damage detection in structures. The algorithm employs an energy‐based method to capture linear and nonlinear effects of damage on structural response. For more accurate detection, the proposed algorithm combines multiple damage sensitive features throu...

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Veröffentlicht in:	Structural control and health monitoring 2016-02, Vol.23 (2), p.333-348
Hauptverfasser:	Mohammadi Ghazi, Reza, Büyüköztürk, Oral
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Damage detection Data analysis Data processing Energy Energy consumption energy method hypothesis testing Mahalanobis distance marginal Hilbert spectrum normalized cumulative energy distribution Statistical analysis Structural damage Uncertainty analysis white noise excitation
Online-Zugang:	Volltext
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