中国科技论文
中國科技論文
중국과기논문
Sciencepaper Online
2015年
11期
1240-1244
,共5页
载流故障%时间序列%空间相关性%主成分分析(PCA)%故障检测
載流故障%時間序列%空間相關性%主成分分析(PCA)%故障檢測
재류고장%시간서렬%공간상관성%주성분분석(PCA)%고장검측
current-carrying fault%time series%spatial correlation analysis%principal component analysis (PCA)%failure detection
针对温度快速上升与温度缓慢上升两类电力设备载流故障形态，提出了基于相关性分析与主元提取的载流故障检测方法。首先分析了触头在空间上的纵横关系，并基于电气规范提出了纵横对比的数据处理方法来消除负载影响；再通过主成分分析（PCA）法提取特征值；最后通过对特征值超阈值情况的分析来给出预警信号。测试结果表明，该方法能够有效地实现对多种载流故障的预警，并在对温度缓慢上升的故障实施预警时，预警时间显著提前。
針對溫度快速上升與溫度緩慢上升兩類電力設備載流故障形態，提齣瞭基于相關性分析與主元提取的載流故障檢測方法。首先分析瞭觸頭在空間上的縱橫關繫，併基于電氣規範提齣瞭縱橫對比的數據處理方法來消除負載影響；再通過主成分分析（PCA）法提取特徵值；最後通過對特徵值超閾值情況的分析來給齣預警信號。測試結果錶明，該方法能夠有效地實現對多種載流故障的預警，併在對溫度緩慢上升的故障實施預警時，預警時間顯著提前。
침대온도쾌속상승여온도완만상승량류전력설비재류고장형태，제출료기우상관성분석여주원제취적재류고장검측방법。수선분석료촉두재공간상적종횡관계，병기우전기규범제출료종횡대비적수거처리방법래소제부재영향；재통과주성분분석（PCA）법제취특정치；최후통과대특정치초역치정황적분석래급출예경신호。측시결과표명，해방법능구유효지실현대다충재류고장적예경，병재대온도완만상승적고장실시예경시，예경시간현저제전。
A current-carrying fault early warning approach based on relevance analysis and principal component analysis(PCA)al-gorithm is proposed,which focus on both quick and slow rise of the electric equipment contact temperature.Firstly,the spatial relationship among contacts is analyzed and a method based on electrical specifications to eliminate the load influence is proposed. Secondly,the characteristic value is extracted by using PCA.Finally,the warning signal is given by analyzing the characteristic value.The above method was verified with the actual temperature data of a power station,and the result shows that the method can realize current-carrying fault early warning accurately,especially for the slow mode.
