Novel Extreme Learning Machine Using Kalman Filter for Performance Prediction of Aircraft Engine in Dynamic Behavior-Reference-Cited by-同舟云学术

Novel Extreme Learning Machine Using Kalman Filter for Performance Prediction of Aircraft Engine in Dynamic Behavior

Published:2020-09 Issue:5 Volume:33 Page:04020053
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Lu Feng¹,Wu Jindong²,Huang Jinquan³,Qiu Xiaojie⁴,Wang Zhaoguang⁵

Affiliation:

1. Associate Professor, Jiangsu Province Key Laboratory of Aerospace Power Systems, College of Energy and Power Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China (corresponding author).

2. Assistant Engineer, Control System Institute, Aero Engine Corporation of China, 792 Liangxi Rd., Wuxi, Jiangsu 214063, China.

3. Professor, Jiangsu Province Key Laboratory of Aerospace Power Systems, College of Energy and Power Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China.

4. Senior Engineer, Control System Institute, Aero Engine Corporation of China, 792 Liangxi Rd., Wuxi, Jiangsu 214063, China.

5. Senior Engineer, Hunan Power Machinery Research Institute, Aero Engine Corporation of China, Dongjiaduan, Zhuzhou, Hunan 412002, 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.1943-5525.0001167

Reference32 articles.

1. Performance Diagnosis for Turbojet Engines Based on Flight Data

2. Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models

3. A Rough RBF Neural Network Based on Weighted Regularized Extreme Learning Machine

4. Autonomous robotic capture of non-cooperative target by adaptive extended Kalman filter based visual servo

5. A Scheduling Scheme of Linear Model Predictive Controllers for Turbofan Engines

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