Anomaly detection of organic pollution in drinking water based on fluorescence spectroscopy and stacked autoencoder
Anomaly detection of organic pollution in drinking water based on fluorescence spectroscopy and stacked autoencoder
复制标题
基于荧光光谱和堆叠式自编码器的饮用水有机污染异常检测
DOI：
10.1109/cac51589.2020.9327511
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发表时间：
2020-11
期刊：
影响因子：
--
通讯作者：
Guangxin Zhang
中科院分区：
文献类型：
--
作者：
Jiegen Shi;Yitong Cao;Jie Yu;Dibo Hou;Yongqin Ren;Guangxin Zhang
研究了饮用水中有机污染物的三维荧光异常检测方法，提出了一种基于层叠式自动编码器的正常水样重建模型。采用3σ准则，通过重构输出与原始输入样本的残差检测有机污染事件，并以饮用水中常见的有机污染物苯酚、水杨酸和罗丹明B为例进行验证。实验结果表明，该算法在保证低误报率的前提下，能够有效地检测出高浓度和低浓度有机污染物。实验结果表明，该方法具有提高饮用水有机污染异常检测灵敏度和鲁棒性的潜力。
In this paper, a three-dimensional fluorescence anomaly detection method for organic pollutants of drinking water is studied, and a normal water sample reconstruction model based on stacked autoencoder is proposed. The organic contamination events are detected by the residual of the reconstructed output and the original input of samples with the 3σ criterion, and the algorithm is validated on the common organic pollutants such as phenol, salicylic acid and rhodamine B in drinking water. The results show that the algorithm can effectively detect both high-concentration and low- concentration organic pollutants under the premise of ensuring low false alarm rate when affected by fluctuations in water quality background. The method proposed is proved to have the potential to improve the sensitivity and robustness of anomaly detection of organic pollution in drinking water.
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影响因子：
2.1
作者：
Gaulier, Geoffrey;Staedler, Davide;Wolf, Jean-Pierre
通讯作者：
Wolf, Jean-Pierre
DOI：
10.5555/1756006.1953039
发表时间：
2010-03
期刊：
J. Mach. Learn. Res.
影响因子：
--
作者：
Pascal Vincent;H. Larochelle;Isabelle Lajoie;Yoshua Bengio;Pierre-Antoine Manzagol
通讯作者：
Pascal Vincent;H. Larochelle;Isabelle Lajoie;Yoshua Bengio;Pierre-Antoine Manzagol
DOI：
10.1016/j.chemolab.2017.10.022
发表时间：
2017-11
影响因子：
3.9
作者：
Yihuan Zhao;Yuan Yuan-Yuan;Jianfang Chen;Meng-long Li;X. Pu
通讯作者：
Yihuan Zhao;Yuan Yuan-Yuan;Jianfang Chen;Meng-long Li;X. Pu
基于荧光光谱的二维Gabor小波分析和支持向量机的水污染分类
影响因子：
3.8
作者：
Huang, P.;Mao, T.;Hou, D.
通讯作者：
Hou, D.
使用全面的二维气相色谱-四极杆质谱法和计算机毒性评估来识别饮用水中的未知副产物
影响因子：
8.8
作者：
Li Chunmei;Wang Donghong;Li Na;Luo Qian;Xu Xiong;Wang Zijian
通讯作者：
Wang Zijian