Fault Prediction Based on Data-Driven Technique

This paper presents principal component analysis (PCA), some improvement of PCA and the development of PCA. PCA does not depend on the accurate mathematical model, is able to implement the feature extraction of the complex process data, and establishes a principal component model of the correspondin...

Full description

Saved in:
Bibliographic Details
Main Authors: Lin Luhui, Ma Jie
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Data models
data-driven
Fault diagnosis
fault prediction
improvement
Mathematical model
Monitoring
Principal component analysis
principal component analysis (PCA)
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents principal component analysis (PCA), some improvement of PCA and the development of PCA. PCA does not depend on the accurate mathematical model, is able to implement the feature extraction of the complex process data, and establishes a principal component model of the corresponding process. It can achieve the extraction of the system information and eliminate the interference the system. So there is the existence of a good applications prospect in the complex process of fault diagnosis and prediction maintain.
DOI:10.1109/iCECE.2010.253