We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
孤立森林算法在大坝监测数据异常识别中的应用.
- Authors
张海龙; 范振东; 陈 敏
- Abstract
The reliability and integrity of the dam safety monitoring data is the premise for analyzing the variation and judging the operational behavior of the dam. For improving the quality of monitoring data, it is necessary to identify and clear the abnormal data. Therefore, the isolated forest algorithm was applied to the abnormal identification of dam monitoring data. Firstly, the trend change data was extracted by wavelet transform, then the residual amount was identified by the isolated forest method. Through the practical application, the method could effectively identify the outliers of the dam monitoring data.
- Publication
Yellow River, 2020, Vol 42, Issue 8, p154
- ISSN
1000-1379
- Publication type
Article
- DOI
10.3969/j.issn.1000-1379.2020.08.033