abnormity detection
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2018 ◽  
Vol 13 (1) ◽  
pp. 8-14
Author(s):  
Wenbin Xie ◽  
Hong Yin ◽  
Meini Wang ◽  
Yan Shao ◽  
Bosi Yu

2013 ◽  
Vol 316-317 ◽  
pp. 694-697
Author(s):  
Ying Bao ◽  
Shu Liu ◽  
Guang Xin Zhang ◽  
Ping Jie Huang ◽  
Di Bo Hou

The classification methods for water quality event detection are discussed, and the feasibility of water quality event detection based on single factor analysis is confirmed through the experiment. The process of water quality detection is introduced and one of Linear Filter algorithms is investigated. The test shows that autoregressive algorithm performs well for water quality abnormity detection.


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