Performance evaluation of main steam temperature regulation system based on Rough Set method

In order to determine whether the current control system is running well and the controller performance is declining, this paper presents a new control system performance evaluation method rough set method. The method utilizes the data of the thermal power plant distribute control system (DCS) database to obtain evaluation knowledge to progress performance evaluation. From the beginning of the discrete data theory, the text discusses the reduction of attribute, reduction of attribute value, rule extraction and the logic reasoning. Finally, the method is applied to the main steam temperature control system of thermal power plant. The results are shown that the accuracy of the evaluation could satisfy the requirements of the application of scene.