Paper Title:
Inertial Sensor Fault Diagnosis Based on an Improved Gain Principal Component Analysis Algorithm
  Abstract

An improved gain principle component analysis(PCA) algorithm is proposed for detecting the small deviation fault of the inertial sensor data. During calculating process of the Q and statistics, different gains are set to improve the small deviation fault detecting capability of some important variables. And the filtering technology is applied to reduce the noise of the sample data and emerge the misjudgment phenomenon. Numeric example result shows that the proposed algorithm can achieve fault diagnosis effectively compared with the conventional PCA algorithm.

  Info
Periodical
Advanced Materials Research (Volumes 271-273)
Edited by
Junqiao Xiong
Pages
40-44
DOI
10.4028/www.scientific.net/AMR.271-273.40
Citation
Q. H. Li, Y. Wang, Y. Pang, "Inertial Sensor Fault Diagnosis Based on an Improved Gain Principal Component Analysis Algorithm", Advanced Materials Research, Vols. 271-273, pp. 40-44, 2011
Online since
July 2011
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Price
$32.00
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