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OPERATION CYCLE OPTIMISATION OF THE LAROX PRESSURE FILTER Jamsa-Jounela S-L.

机译:Larox压力过滤器Jamsa-Jounela S-L的操作周期优化。

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摘要

Artificial intelligence methods such as expert systems, fuzzy systems, neural networks and combinations of these, have become invaluable tools in helping operators to monitor and control processes. These methods can also be used to run processes in a more economically effective way and, in the case of equipment malfunction, they can propose appropriate corrective measures. In this paper a system for operation cycle optimisation of the Larox pressure filter is presented and some test results are discussed.
机译:人工智能方法,如专家系统,模糊系统,神经网络和这些组合,在帮助运营商监控和控制过程中,成为宝贵的工具。这些方法也可用于以更经济的有效方式运行工艺,并且在设备故障的情况下,它们可以提出适当的纠正措施。在本文中,提出了一种用于操作循环优化的系统循环优化,并讨论了一些测试结果。

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