Toward Data-Driven Structural Health Monitoring: Application of Machine Learning and Signal Processing to Damage Detection-Reference-Cited by-同舟云学术

Toward Data-Driven Structural Health Monitoring: Application of Machine Learning and Signal Processing to Damage Detection

Author:

Ying Yujie¹,Garrett James H.²,Oppenheim Irving J.³,Soibelman Lucio⁴,Harley Joel B.⁵,Shi Jun⁶,Jin Yuanwei⁷

Affiliation:

1. Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., Pittsburgh, PA 15213 (corresponding author).

2. Dean, College of Engineering, Professor, Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., Pittsburgh, PA 15213.

3. Professor, Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., Pittsburgh, PA 15213.

4. Professor and Chair, Astani Dept. of Civil and Environmental Engineering, Univ. of Southern California, Los Angeles, CA 90089.

5. Dept. of Electrical and Computer Engineering, Carnegie Mellon Univ., Pittsburgh, PA 15213.

6. Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., Pittsburgh, PA 15213.

7. Associate Professor, Dept. of Engineering and Aviation Sciences, Univ. of Maryland Eastern Shore, Princess Anne, MD 21853.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

Reference34 articles.

1. Kurtosis: A critical review;Balanda K. P.;The Am. Stat.,1988

Cited by 113 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献