Sensor Fault Diagnosis for Structural Health Monitoring Based on Statistical Hypothesis Test and Missing Variable Approach

Author:

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

Affiliation:

1. Ph.D. Student, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, 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

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Reference37 articles.

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3. Real-time multi-sensors measurement system with temperature effects compensation for impedance-based structural health monitoring

4. Burkett J. L. (2005). “Benchmark studies for structural health monitoring using analytical and experimental models.” Master’s thesis Univ. of Central Florida Orlando FL.

5. Catbas F. Caicedo J. and Dyke S. (2015). “Benchmark problem on health monitoring of highway bridges.” 〈http://www.cece.ucf.edu/people/catbas/benchmark.htm〉 (Nov. 3 2014).

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