Multivariate Statistical Approach to Structural Damage Detection-Reference-Cited by-同舟云学术

Multivariate Statistical Approach to Structural Damage Detection

Published:2010-01 Issue:1 Volume:136 Page:12-22
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Wang Zengrong¹²,Ong K. C. G.¹²

Affiliation:

1. Ph.D. Candidate, Dept. of Civil Engineering, National Univ. of Singapore, #07-03, Block E1A, 1 Engineering Dr. 2, Singapore 117576, Singapore.

2. Associate Professor and Deputy Head, Dept. of Civil Engineering, National Univ. of Singapore, #07-03, Block E1A, 1 Engineering Dr. 2, Singapore 117576, Singapore (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9399%282010%29136%3A1%2812%29

Reference31 articles.

1. Vibration Based Condition Monitoring: A Review

2. Chang F. -K. (2007). Proc. 1st-6th Int. Workshops on Structural Health Monitoring Stanford Univ. Stanford Calif.

3. Bayesian Analysis of the Phase II IASC–ASCE Structural Health Monitoring Experimental Benchmark Data

4. A Summary Review of Vibration-Based Damage Identification Methods

5. Auto-Regression and Statistical Process Control Techniques Applied to Damage Indication in Telecommunication Masts

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