[1]程 雷 １,肖光梁 ２,程 攀 ２,等.基于关联规则的多普勒天气雷达故障挖掘算法分析[J].机械与电子,2021,(07):10-14.
　CHENG Lei,XIAO Guangliang,CHENG Pan,et al.Fault Mining Algorithm Analysis of Doppler Weather Radar Based on Association Rules[J].Machinery & Electronics,2021,(07):10-14.
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基于关联规则的多普勒天气雷达故障挖掘算法分析()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2021年07期
页码:
10-14
栏目:
设计与研究
出版日期:
2021-07-19

文章信息/Info

Title:
Fault Mining Algorithm Analysis of Doppler Weather Radar Based on Association Rules
文章编号:
１００１-２２５７ ( ２０２１ ) ０７-００１０-０５
作者:
程 雷 １; 肖光梁 ２; 程 攀 ２; 姚 文 ３; 单振宇 １
１．丹东市气象局,辽宁 丹东 １１８０００ ;?
２．辽宁省气象灾害监测预警中心,辽宁 沈阳 １１０１１６ ;
３．营口市气象局,辽宁 营口 １１５００１
Author(s):
CHENG Lei１ ; XIAO Guangliang２ ; CHENG Pan２ ; YAO Wen３ ; SHAN Zhenyu１
(１．Dandong Meteorological Bureau , Dandong １１８０００ , China ;?
２．Liaoning Meteorological Disaster Monitoring and Early Warning Center , Shenyang １１０１１６ , China ;?
３．Yingkou Meteorological Bureau , Yingkou １１５００１ , China )
关键词:
关联规则; 多普勒天气雷达; 故障; 挖掘
Keywords:
association rules ;  Doppler weather radar ;  fault ;  mining
分类号:
TN９５９.4
文献标志码:
A
摘要:
基于辽宁丹东多普勒天气雷达等台站,针对当前多普勒天气雷达发射机、接收机、伺服等软硬件故障挖掘过程中,受冗余、缺失、错误数据的影响导致最终挖掘率和挖掘准确率不高,误挖率以及漏挖率始终较高的问题,提出了基于关联规则的多普勒天气雷达故障挖掘算法.该算法利用关联规则挖掘技术原理以及相关定义定理,将收集到的多普勒天气雷达故障数据集划分成不同区域,滤除弱关联故障数据,保留强关联故障数据,完成对多普勒天气雷达故障数据的预处理,并构建了故障原始判断表和故障挖掘模型,在此基础上,利用故障原始判断表和挖掘模型对多普勒天气雷达故障进行定位和类别判断,完成挖掘.性能测试结果显示,采用所提算法能够实现多种类型多普勒天气雷达故障的高精度挖掘,为多普勒天气雷达系统的安全、稳定运行提供了有效保障.
Abstract:
Based on Liaoning Dandong Doppler weather radar and other stations , for the current Doppler weather radar transmitter , receiver , servo and other software and hardware faults , the mining process is affected by redundant , missing , and erroneous data , resulting in the low final mining rate and mining accuracy．And the rate of mis-mining and missing-mining is always high．A?Doppler weather radar? ?fault mining algorithm basedon association rules is proposed．This algorithm uses the principles of association rule mining technology and relateddefinition theorems to collect．The Doppler weather radar fault data set is divided into different regions , filtering outweakly correlated fault data , retaining strong correlated fault data , completing preprocessing of Doppler weatherradar fault data , and constructing the original fault judgment table and fault mining model.Based on this , the original fault judgment table and mining model are used to locate and classify Doppler weather radar faults and complete mining．Performance test results show that the proposed algorithm can achieve high-precision mining of various types of Dopplerweather radar faults , provides effective guarantee for the safe and stable operation of the Doppler weather radar system．

参考文献/References:

[１] 孙继旋 ． 基于关联规则的舰船故障数据定位挖掘算法[ J ] ． 舰船科学技术, ２０１７ , ３９ ( ２４ ): ４９-５１ , ９０．

[２] 杨桦 ． 基于关联规则的船舶故障数据自动分类方法[ J ] ．舰船科学技术,２０１８ , ４０ ( １２ ): ５５-５７．
[３] 刘庆贵,丁进良 ． 基于改进Apriori关联规则挖掘的冷水机组故障诊断[ J ] ． 暖通空调, ２０１８ , ４８ ( ４ ): １２０-１２４．
[４] 黄裔诚,郭泽勇 ． 基于故障树的CINRAD / SA雷达故障诊断系统[ J ] ． 气象科技, ２０１７ , ４５ ( ５ ): ９３０-９３７．
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[６] 舒童 ．CTL-７１３C多普勒天气雷达数字接收处理系统故障诊断分析[ J ] ． 气象科技, ２０１７ , ４５ ( ３ ): ５７９-５８２．
[７] 黄潮 ． 云计算环境下的海量光纤通信故障数据挖掘算法研究[ J ] ． 激光杂志, ２０１７ , ３８ ( １ ): ９６-１００．
[８] 胡军,尹立群,李振,等 ． 基于大数据挖掘技术的输变电设备故障诊断方法 [ J ] ． 高电压技术,２０１７ , ４３ ( １１ ):３６９０-３６９７．
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备注/Memo

备注/Memo:
收稿日期: ２０２１-０３-１８
基金项目:环渤海区域科技协同创新基金项目( QYXM２０１７０３ );辽宁省气象局科研课题(２０１９０２ )
作者简介:程 雷 ( １９８１－ ),男,辽宁丹东人,工程师,主要从事雷达运行保障研究工作;肖光梁 ( １９８４－ ),男,黑龙江甘南人,高级工程师,研究方向为灾害性天气预报预警;程 攀 ( １９９０－ ),男,辽宁沈阳人,工程师,主要从事短临预报预警研究工作,通信作者.
更新日期/Last Update: 2021-07-15