Fault Detection Method for a Wastewater Treatment Process based on a Neural Model

被引：0

作者：

Miron, Mihaela ^{[1
]}

Frangu, Laurentiu ^{[1
]}

Caraman, Sergiu ^{[1
]}

机构：

[1] Dunarea de Jos Univ Galai, Fac Automat Comp Elect Engn & Elect, Galai, Romania

来源：

2017 5TH INTERNATIONAL SYMPOSIUM ON ELECTRICAL AND ELECTRONICS ENGINEERING (ISEEE) | 2017年

关键词：

wastewater treatment process; biotechnological process; neural model; fault detection; process diagnosis; DIAGNOSIS; NETWORK;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper is presented a fault detection method for a biological wastewater treatment process (WWTP) based on residual generation. The residuals were determined by comparing the process model affected by different faults with its neural model. The simulation results demonstrate that this approach is efficient for detecting faults which occurs in biotechnological processes.

引用

页数：6

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