A Study of Time Series Fuzzy Clustering on Test Data in Air Traffic Control Equipment Measuring System

Jinyong Ma*, Jun Qu, Hushing Zhang, Ping Song, Kejie Li, Songhao Bai, Hongliang Lan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the remote test and fault forecasting system of the air traffic control equipment, the measuring environment is very complex, the measuring data is affected by kinds of random factors. Focusing on the problem of rejecting false data in the remote test and fault forecasting system, this paper uses the method of analyzing fuzzy set, on the basis of working characteristic of the system, interprets a time series fuzzy clustering model to separate the real and false collection data. And we explain the application of the model through testing the auxiliary equipment of the air traffic control system.

Original languageEnglish
Title of host publicationProceedings of the International Symposium on Test and Measurement
Pages4013-4016
Number of pages4
Publication statusPublished - 2003

Publication series

NameProceedings of the International Symposium on Test and Measurement
Volume5

Keywords

  • Collection Data
  • Fault forecasting system
  • Fuzzy clustering
  • Time series

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