Interval Prediction and Stability Analysis of Time Series (Part II: Experiment)

DOI

10.2991/icsnce-16.2016.84How to use a DOI?

Keywords

Time series; Interval prediction; Stability; Roundness error; Friction torque

Abstract

The interval prediction and stability analysis model of time series are verified by the manufacturing system and friction torque experiments of rolling bearings in this paper. According to the dynamic characteristics of the surface roundness error of outer ring, the stability situation of outer ring groove grinder of rolling bearings is assessed; via the current signal of friction torque, the performance trend of bearings is analyzed during their operation. The two experiment cases of time series are collected 50 sample data. Based on the grey bootstrap method, the intervals of above two time series are predicted by using the former 6 data to forecast analysis and the latter 44 data to verify this model, and the prediction results show that the prediction interval contains almost all the experiment value with a small rate of misinformation and high precision. Then based on the fuzzy-set theory, the stability of time series is analyzed, and the study shows that products have a good stability during their operation.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xintao Xia
AU  - Zhen Chang
AU  - Yunfei Li
AU  - Bin Liu
AU  - Liang Ye
PY  - 2016/07
DA  - 2016/07
TI  - Interval Prediction and Stability Analysis of Time Series (Part II: Experiment)
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 433
EP  - 437
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.84
DO  - 10.2991/icsnce-16.2016.84
ID  - Xia2016/07
ER  -