Improving Identification of Wind Tunnel Systems Using Clustering-Based Ensemble Outlier Detection Model-Reference-Cited by-同舟云学术

Improving Identification of Wind Tunnel Systems Using Clustering-Based Ensemble Outlier Detection Model

Published:2021-05 Issue:3 Volume:34 Page:04021012
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Zhao Hongyan¹,Yuan Ping²,Mao Zhizhong³,Wang Biao⁴

Affiliation:

1. School of Computer Science and Engineering, Northeastern Univ., Shenyang 110819, China; mailing address: No. 3-11, Wenhua Rd., Heping District, Shenyang 110819, China.

2. School of Information Science and Engineering, Northeastern Univ., Shenyang 110819, China; mailing address: No. 3-11, Wenhua Rd., Heping District, Shenyang 110819, China.

3. Professor, School of Information Science and Engineering, Northeastern Univ., Shenyang 110819, China; mailing address: No. 3-11, Wenhua Rd., Heping District, Shenyang 110819, China (corresponding author).

4. School of Automation, Shenyang Aerospace Univ., Shenyang 110136, China; mailing address: No. 37, Daoyi Southern St., Shenbei New District, Shenyang 110136, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0001235

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