Anomaly Identification of Structural Health Monitoring Data Using Dynamic Independent Component Analysis-Reference-Cited by-同舟云学术

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Anomaly Identification of Structural Health Monitoring Data Using Dynamic Independent Component Analysis

Published:2020-09 Issue:5 Volume:34 Page:04020025
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Huang Hai-Bin¹,Yi Ting-Hua²,Li Hong-Nan³

Affiliation:

1. Assistant Professor, School of Civil and Transportation Engineering, Hebei Univ. of Technology, Tianjin 300401, China.

2. Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China (corresponding author).

3. Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000905

Reference41 articles.

1. Sensor Validation for Structural Systems with Additive Sensor Faults

2. Sensor validation for structural systems with multiplicative sensor faults

3. Analysis and generalization of fault diagnosis methods for process monitoring

4. Damage assessment using flexibility and flexibility-based curvature for structural health monitoring

5. Unsupervised novelty detection–based structural damage localization using a density peaks-based fast clustering algorithm

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