Failure Warning Method of Pulverizing System Based on Multivariate State Estimation

Yongjie Zhai; Huiyuan Cui; Shilin Wang; Yan Li

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Failure Warning Method of Pulverizing System Based on Multivariate State Estimation

机译：基于多元状态估计的制粉系统故障预警方法

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Based on the multivariate state estimation, a new condition monitoring methods for the generator set is presented to reduce the maintenance costs of power generation equipment. A new and improved matrix in memory is given. It can achieve a good coverage of the normal operation status of the milling system. When there is a large difference between the estimated value and the actual measurement value, the existence of the fault is indicated. Sliding window residual statistical methods is used to analyze the residuals. When the residual trend is beyond the set threshold value, the system generates the warning. The real-time data of power plant is used to verify the method. The simulation results show that this method can achieve early failure warning effectively.

机译：基于多元状态估计，提出了一种新的发电机组状态监测方法，以降低发电设备的维护成本。给出了一种新的和改进的存储器矩阵。它可以很好地覆盖铣刨系统的正常运行状态。当估计值与实际测量值之间存在较大差异时，表明存在故障。滑动窗口残差统计方法用于分析残差。当残留趋势超过设置的阈值时，系统将生成警告。利用电厂的实时数据对该方法进行了验证。仿真结果表明，该方法可以有效地实现早期故障预警。

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《Information Technology Journal》 |2014年第6期|共6页
作者
Yongjie Zhai; Huiyuan Cui; Shilin Wang; Yan Li;
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中图分类自动化技术、计算机技术;
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Failure Warning Method of Pulverizing System Based on Multivariate State Estimation

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