Analytical Redundancy Design for Aeroengine Sensor Fault Diagnostics Based on SROS-ELM
Joint Authors
Zhou, Jun
Liu, Yuan
Zhang, Tianhong
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Analytical redundancy technique is of great importance to guarantee the reliability and safety of aircraft engine system.
In this paper, a machine learning based aeroengine sensor analytical redundancy technique is developed and verified through hardware-in-the-loop (HIL) simulation.
The modified online sequential extreme learning machine, selective updating regularized online sequential extreme learning machine (SROS-ELM), is employed to train the model online and estimate sensor measurements.
It selectively updates the output weights of neural networks according to the prediction accuracy and the norm of output weight vector, tackles the problems of singularity and ill-posedness by regularization, and adopts a dual activation function in the hidden nodes combing neural and wavelet theory to enhance prediction capability.
The experimental results verify the good generalization performance of SROS-ELM and show that the developed analytical redundancy technique for aeroengine sensor fault diagnosis based on SROS-ELM is effective and feasible.
American Psychological Association (APA)
Zhou, Jun& Liu, Yuan& Zhang, Tianhong. 2016. Analytical Redundancy Design for Aeroengine Sensor Fault Diagnostics Based on SROS-ELM. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112661
Modern Language Association (MLA)
Zhou, Jun…[et al.]. Analytical Redundancy Design for Aeroengine Sensor Fault Diagnostics Based on SROS-ELM. Mathematical Problems in Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1112661
American Medical Association (AMA)
Zhou, Jun& Liu, Yuan& Zhang, Tianhong. Analytical Redundancy Design for Aeroengine Sensor Fault Diagnostics Based on SROS-ELM. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112661
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112661