A Coupling Diagnosis Method for Sensor Faults Detection, Isolation and Estimation of Gas Turbine Engines

A Coupling Diagnosis Method for Sensor Faults Detection, Isolation and Estimation of Gas Turbine Engines

In this paper a novel fault detection, isolation, and identification (FDI&E) scheme using a coupling diagnosis method with the integration of the model-based method and unsupervised learning algorithm is proposed and developed for monitoring gas turbine sensor faults, which represents an integra...

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Bibliographic Details
Main Authors: Linhai Zhu, Jinfu Liu, Yujia Ma, Weixing Zhou, Daren Yu
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Energies
Subjects:
gas turbine
sensor fault diagnosis
machine learning
model based
Square Root Cubature Kalman Filter (SRCKF), Density-Based Spatial Clustering of Application with Noise (DBSCAN)
Online Access:https://www.mdpi.com/1996-1073/13/18/4976

Internet

https://www.mdpi.com/1996-1073/13/18/4976

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