CN108334894B - 基于无监督机器学习的变压器油温异常识别方法 - Google Patents
基于无监督机器学习的变压器油温异常识别方法 Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000010801 machine learning Methods 0.000 title claims abstract description 8
- 238000003066 decision tree Methods 0.000 claims abstract description 17
- 238000012549 training Methods 0.000 claims abstract description 17
- 238000012360 testing method Methods 0.000 claims abstract description 15
- 230000002159 abnormal effect Effects 0.000 claims abstract description 12
- 230000005856 abnormality Effects 0.000 claims description 5
- 238000003064 k means clustering Methods 0.000 claims description 4
- 239000013598 vector Substances 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 abstract description 2
- 238000005259 measurement Methods 0.000 description 8
- 238000004364 calculation method Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000012937 correction Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
Abstract
Description
特征名 | 特征描述 | 特征名 | 特征描述 |
YG_YC_G | 主变高压侧有功遥测 | DLZ_YC_G | 主变高压侧电流值遥测 |
YG_YC_D | 主变低压侧有功遥测 | DLZ_YC_D | 主变低压侧电流值遥测 |
YG_YC_Z | 主变中压侧有功遥测 | DLZ_YC_Z | 主变中压侧电流值遥测 |
WG_YC_G | 主变高压侧无功遥测 | DLFZA_YC_G | 主变高压侧A相电流副值 |
WG_YC_D | 主变低压侧无功遥测 | DLFZA_YC_D | 主变低压侧A相电流副值 |
WG_YC_Z | 主变中压侧无功遥测 | DLFZA_YC_Z | 主变中压侧A相电流副值 |
GLYS_YC_G | 主变高压侧功率因数遥测 | RZWDA_YC | 主变A相绕组温度 |
GLYS_YC_D | 主变低压侧功率因数遥测 | YW1A_YC | 主变A相油温1 |
GLYS_YC_Z | 主变中压侧功率因数遥测 | HJWD | 环境温度 |
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CN109376759A (zh) * | 2018-09-10 | 2019-02-22 | 平安科技(深圳)有限公司 | 用户信息分类方法、装置、计算机设备和存储介质 |
CN109507517B (zh) * | 2018-12-07 | 2020-10-27 | 国网辽宁省电力有限公司鞍山供电公司 | 基于双侧功率大数据比对的配电变压器运行状态分析方法 |
CN110738272B (zh) * | 2019-10-23 | 2020-11-03 | 智洋创新科技股份有限公司 | 一种输电线路通道可视化机械类连续告警样本的标注方法 |
CN110991499B (zh) * | 2019-11-18 | 2023-04-07 | 广东省特种设备检测研究院珠海检测院 | 一种电梯液压缓冲器隐患识别方法及系统 |
CN111814302B (zh) * | 2020-05-28 | 2024-03-08 | 嘉兴市恒光电力建设有限责任公司 | 一种变压器绝缘油温度采集传输回路故障排除系统及方法 |
Citations (1)
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CN105512474A (zh) * | 2015-12-02 | 2016-04-20 | 国网山东省电力公司电力科学研究院 | 一种变压器状态监测数据的异常检测方法 |
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CN105512474A (zh) * | 2015-12-02 | 2016-04-20 | 国网山东省电力公司电力科学研究院 | 一种变压器状态监测数据的异常检测方法 |
Non-Patent Citations (1)
Title |
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电力变压器的智能化故障诊断识别研究;王坤泉;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20150331;第20-39页 * |
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