摘要
为实现磨煤机状态预警,提高磨煤机运行的稳定性。以热力学为基础,对Hp934型中速磨煤机内部煤质量、水分质量、能量平衡进行分析,确定了表征磨煤机运行状态的特征参数。用相关性分析、正态分布和置信度算法等方法对大量实际生产数据进行挖掘整理,确定了各工况下磨煤机稳定运行的各特征参数边界,制定了预警规则,建立了磨煤机的预警模型。测试结果表明,该模型能判断磨煤机运行的早期异常,证明了该预警模型的有效性和可行性,能为实现磨煤机的运维提供参考。
In order to realize the early warning of the coal mill and to improve the stability of the coal mill.On the basis of thermodynamics,the internal coal quality,moisture quality,and energy balance of the Hp934 medium-speed coal mill were analyzed,and the characteristic parameters that characterize the operation of the coal mill were determined.Using correlation analysis,normal distribution and confidence algorithm to excavate a large number of actual production data,determine the boundaries of various characteristic parameters of stable operation of the coal mill under various operating conditions,formulate the early warning rules,and establish the early warning model of coal mill.The test results show that the model can accurately determine the early operation anomalies of the coal mill earlier,prove the effectiveness and feasibility of the early warning model,and provide reference for the operation and maintenance of the coal mill.
作者
朱朋成
钱虹
江诚
ZHU Peng-cheng;QIAN Hong;JIANG Cheng(Shanghai University of Electric Power,Shanghai 200090,China;Shanghai Key Laboratory of Power Station Automation Technology,Shanghai 200090,China)
出处
《哈尔滨理工大学学报》
CAS
北大核心
2020年第1期43-50,共8页
Journal of Harbin University of Science and Technology
基金
国家自然科学基金(61503237)
上海市科委地方能力建设项目(18020500900)。
关键词
热力学机理
数据挖掘
正态分布
特征参数
状态预警
thermodynamic mechanism
data mining
normal distribution
characteristic parameter
early state warning
