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Proceedings of Annual Conference of China Institute of Communications (CIC 2009 E-BOOK)

Guangzhou,China,11.26-11.27，2009

ISBN: 978-1-935068-10-5 Scientific Research Publishing, USA

E-Book 604pp Pub. Date: March 2010

Category: Computer Science & Communications

Price: $80

Title: Principal Component Analysis：Mechanical Fault Prediction Based on Data-Driven Technique
Source: Proceedings of Annual Conference of China Institute of Communications (CIC 2009 E-BOOK) (pp 44-48)
Author(s): Luhui Lin, School of Automation, Beijing Information Science & Technology University, Beijing, China
Jie Ma, School of Automation, Beijing Information Science & Technology University, Beijing, China
Abstract: This paper describes the technique based on data-driven. This method does not require a priori knowledge of the process, solely on the basis of process data collected, and can explore the hidden information in the data. And principal component analysis (PCA) is one of the analysis methods of the data-driven. This paper aims to propose a fault prediction method based on PCA which is a multivariate statistical analysis method. It does not need to understand the structure and principles of the system in-depth and can be based on the sensor measurement data of the system running process entirely; and the PCA algorithm, which is simple and easy to implement, can also reduce the noise interference and simplify the data processing.
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