@inproceedings{abbb0466ca244c8a9cb57341e9509837,
title = "A Study of Time Series Fuzzy Clustering on Test Data in Air Traffic Control Equipment Measuring System",
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.",
keywords = "Collection Data, Fault forecasting system, Fuzzy clustering, Time series",
author = "Jinyong Ma and Jun Qu and Hushing Zhang and Ping Song and Kejie Li and Songhao Bai and Hongliang Lan",
year = "2003",
language = "English",
series = "Proceedings of the International Symposium on Test and Measurement",
pages = "4013--4016",
booktitle = "Proceedings of the International Symposium on Test and Measurement",
}