Managing water quality using neuro-fuzzy systems

机译：使用神经模糊系统管理水质

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The validity of sensor measurements, within an automated process, is necessary to ensure the accurate and reliable operational performance of the system. Sensor failure and the ensuing spurious sensor readings can result in reduced production, inferior product quality, plant shutdown, hazards and increased environmental problems. This paper describes a method of sensor failure detection, isolation and signal reconstruction using neuro-fuzzy systems.

机译：在自动化过程中，传感器测量的有效性对于确保系统的准确和可靠的运行性能是必不可少的。传感器故障和随之而来的杂散传感器读数会导致产量下降，产品质量降低，工厂停工，危害和环境问题增加。本文介绍了一种使用神经模糊系统进行传感器故障检测，隔离和信号重建的方法。

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《International Conference on Quality, Reliability, and Maintenance(QRM 2004); 20040401-20040402; Oxford; GB》|2004年|P.57-60|共4页
会议地点 Oxford(GB);Oxford(GB)
作者
G WATERQORTH;
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Leeds Metropolitan University, UK;

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原文格式 PDF
正文语种 eng
中图分类质量控制;
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Managing water quality using neuro-fuzzy systems

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