A novel outlier detection method for monitoring data in dam engineering

作者：

Highlights：

• Detecting outliers from the perspective of image processing and artificial intelligence.

• An universal and robust approach for outlier detection of monitoring data.

• Performance of monitoring model is improved after eliminating outliers by the proposed method.

摘要

•Detecting outliers from the perspective of image processing and artificial intelligence.•An universal and robust approach for outlier detection of monitoring data.•Performance of monitoring model is improved after eliminating outliers by the proposed method.

论文关键词：Dam monitoring data,Outlier detection,Gaussian blur,Otsu binarization,Cuckoo Search algorithm

论文评审过程：Received 17 May 2021, Revised 3 September 2021, Accepted 26 December 2021, Available online 5 January 2022, Version of Record 12 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116476