A Multi-Fault Diagnosis Method for Sensor Systems Based on Principle Component Analysis

A Multi-Fault Diagnosis Method for Sensor Systems Based on Principle Component Analysis

A model based on PCA (principal component analysis) and a neural network is proposed for the multi-fault diagnosis of sensor systems. Firstly, predicted values of sensors are computed by using historical data measured under fault-free conditions and a PCA model. Secondly, the squared prediction erro...

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Bibliographic Details
Main Authors: Daqi Zhu, Jie Bai, Simon X. Yang
Format: Article
Language:English
Published: MDPI AG 2009-12-01
Series:Sensors
Subjects:
multi-fault diagnosis
principal component analysis
signal reconstruction
fault detection
fault isolation
Online Access:http://www.mdpi.com/1424-8220/10/1/241/

Internet

http://www.mdpi.com/1424-8220/10/1/241/

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