Soft extreme learning machine for fault detection of aircraft engine

Author:

Zhao Yong-Ping,Huang Gong,Hu Qian-Kun,Tan Jian-Feng,Wang Jian-Jun,Yang Zhe

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference41 articles.

1. Development of an Information Fusion System for Engine Diagnostics and Health Management;Volponi,2004

2. Propulsion Control and Health Management (pchm) Technology for Flight Test on the c-17 t-1 Aircraft;Simon,2004

3. A survey of intelligent control and health management technologies for aircraft propulsion systems;Litt;J. Aerosp. Comput. Inf. Commun.,2004

4. Integration of on-line and off-line diagnostic algorithms for aircraft engine health management;Kobayashi;J. Eng. Gas Turbines Power,2007

5. Fault detection and isolation of gas turbine engines using a bank of neural networks;Sina Tayarani-Bathaie;J. Process Control,2015

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