Study of Alarm Filtering Method Based on Multivariate Process Condition Data

DOI

10.2991/icacie-16.2016.35How to use a DOI?

Keywords

process monitoring, time series, pattern discovery, alarm filtering

Abstract

In this paper, through the analysis of core demands related multivariate process condition data, the obtained features and classification results are used to calculate the alarm statistical index. By evaluating alarm presence rate and effective alarm rate, alarm classification filtering is achieved, where the upper layer applications include the pre-/post-fault alarm statistical tool and the alarm classification filtering tool. The speeding fault alarm of concrete pumping truck is taken as an example to analyze the results of alarm filtering using the alarm filtering framework developed in this work.

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/).

Download article (PDF)

TY  - CONF
AU  - Jianwen Huang
AU  - Zewu Peng
PY  - 2016/10
DA  - 2016/10
TI  - Study of Alarm Filtering Method Based on Multivariate Process Condition Data
BT  - Proceedings of the 2016 International Conference on Automatic Control and Information Engineering
PB  - Atlantis Press
SP  - 156
EP  - 160
SN  - 2352-5401
UR  - https://doi.org/10.2991/icacie-16.2016.35
DO  - 10.2991/icacie-16.2016.35
ID  - Huang2016/10
ER  -