Study on Moving Pattern Based Fault Detection Method

Author:

Sun Chang Ping1,Gao Qiang1,Yu Hang1,Xu Zheng Guang2

Affiliation:

1. Tianjin University of Technology

2. University of Science and Technology Beijing

Abstract

In our previous work, moving pattern based modeling and control was proposed. In this paper, based on our previous work, a fault detection method based on moving pattern is proposed, and interval number is still used to measure moving pattern. Based on the history operating condition data, moving pattern based dynamic model is formed. The model gives the pattern class to which operating condition patterns belong, and whether the fault is happened. In addition, the nearest neighbor pattern and secondary nearest neighbor pattern are defined in this paper. At last, the validity of the proposed fault detection method is verified by the practical operating condition pattern data of the sintering process of Anyang Steel and Iron Works.

Publisher

Trans Tech Publications, Ltd.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3