Sensor Fault Diagnosis for Aero Engine Based on Online Sequential Extreme Learning Machine with Memory Principle

Sensor Fault Diagnosis for Aero Engine Based on Online Sequential Extreme Learning Machine with Memory Principle

The on-board sensor fault detection and isolation (FDI) system is essential to guarantee the reliability and safety of an aero engine. In this paper, a novel online sequential extreme learning machine with memory principle (MOS-ELM) is proposed for detecting, isolating, and reconstructing the fault...

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Bibliographic Details
Main Authors: Junjie Lu, Jinquan Huang, Feng Lu
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Energies
Subjects:
extreme learning machine (ELM)
memory principle
online learning
aero engine
sensor fault diagnosis
Online Access:http://www.mdpi.com/1996-1073/10/1/39

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