Fault Diagnosis of Water Quality Monitoring Devices Based on Multiclass Support Vector Machines and Rule-Based Decision Trees

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...

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Bibliographic Details
Main Authors: Shuangyin Liu, Longqin Xu, Qiucheng Li, Xuehua Zhao, Daoliang Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
MSVM
rule-based decision tree
wireless sensor networks
aquaculture
water quality
Online Access:https://ieeexplore.ieee.org/document/8288831/

Internet

https://ieeexplore.ieee.org/document/8288831/

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