Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System
Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System
复制标题
基于神经网络的故障检测与隔离在液位控制系统中的应用
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
A. Neto
中科院分区：
文献类型：
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作者：
R. G. Fernandes;D. Silva;L. A. H. D. Oliveira;A. Neto
在工业过程的执行过程中，保证设备本身的安全性和可信性的必要性与日俱增。然后，能够检测和隔离过程中的故障是非常重要的。提出了一种将过程故障检测与隔离(FDI)系统应用于与工业网络基金会现场总线相连的液位控制系统的方法。利用人工神经网络(ANN)开发了FDI系统，并在真实环境中进行了测试。
Each time more grows the necessity of guaranteeing itself security and trustworthiness of the equipment during the execution of the industrials processes. Then, it is very important that faults in the processes can be detected and isolated. This paper presents an approach to process fault detection and isolation (FDI) system applied to a levels control system connected with an industrial network Foundation Fieldbus. The FDI system was developed using artificial neural networksfi (ANN) and tested in real environment.