Application of time-series pattern discovery algorithm on turbine monitoring

LI Yuan-Sheng

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Application of time-series pattern discovery algorithm on turbine monitoring

更新时间：2025-11-18

- Application of time-series pattern discovery algorithm on turbine monitoring
- Issue 2, Pages: 20-23(2007)
- 作者机构：
  
  广东粤华发电有限责任公司,广东,广州,510730
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM764
- Published：2007
- 稿件说明：
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[1]李远生.时序模式发现算法在汽轮机监控中的应用[J].湖南电力,2007(02):20-23.

LI Yuan-Sheng. Application of time-series pattern discovery algorithm on turbine monitoring[J]. 2007, (2): 20-23.
[1]李远生.时序模式发现算法在汽轮机监控中的应用[J].湖南电力,2007(02):20-23. DOI：

LI Yuan-Sheng. Application of time-series pattern discovery algorithm on turbine monitoring[J]. 2007, (2): 20-23. DOI：

摘要

概述了时序模式发现的基本理论知识、目前的研究现状。同时对时序数据序列中发现模式问题进行描述

提出利用线段的斜率反正切值作为模式识别的样本

从而在分类时忽略模式的畸变

并成功建立故障模式

以充分发挥存储在汽轮机历史数据库中数据对电力生产的指导作用。

Abstract

The basic theory knowledge and research status of time-series pattern discovery were summarized and the problems in time-series data sequence were described.The arctg slope of line was used as the sample of pattern recognition to ignore the aberrance of pattern in the classification.Malfunction patterns were successfully set up to direct electric power production.

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Related Institution

Huaneng Yueyang Power Generation co.,Ltd

华能湖南岳阳发电有限责任公司湖南岳阳414002

Guangzhou Wanglong Thermoelectricity Co.,Ltd.

Hunan Electric Power Test and Research Institute

湖南省电力公司试验研究院湖南长沙410007

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