Fault Diagnosis of Water Quality Monitoring Devices Based on Multiclass Support Vector Machines and Rule-Based Decision Trees
Preventing faults of sensors, wireless transmitters, and gateways are essential for water quality management in intensive aquaculture. It remains a challenging task to achieve high fault diagnostic accuracy of water quality monitoring and controlling devices. This paper proposes a hybrid water quali...
Main Authors: | Shuangyin Liu, Longqin Xu, Qiucheng Li, Xuehua Zhao, Daoliang Li |
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Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8288831/ |
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