基于SBM技术的发电设备故障预警系统研究

Study on SBM-Based Failure Prognostic System for Power Generation Equipments

发电设备常规的监测手段均采用绝对值报警,当运行参数超过设定值时产生报警提示。这种单一的监测手段难以及时发现设备的早期征兆并对其发展趋势进行跟踪,最终导致被迫停机。为此提出基于相似性原理(SBM)的建模技术,将实际设备运行数据通过数学分析的方法,建立与实际设备相似的模型矩阵。将实际运行值与模型计算出的估计值进行比较,超过预设的偏差值即出现报警。在线展示系统参数的动态变化过程,反映系统运行的健康状态,并及时提醒维护人员进行设备维护;此外通过实例介绍了该系统的实际运用效果。

Generally, the monitoring system for power generation equipments adopts absnlute value to issue alarms when the operating parameters exceed the set values. This single monitoring method makes it difficult to notiee the early signs of the equipment abnormalities and then keep the track of their further development, which may eventually cause the forced outage of equipments. In this paper, a modeling technique based on similarity mechanism （SBM） is proposed in which a model matrix is established to simulate the real equipments by analyzing the actual operation data with mathematical method. Then, the deviation is obtained by comparison between the actual operation value and the calculated value on the model. If it is more than the preset deviation, the alarm will be triggered. This system can display the online dynamic process of the system parameter changes, reflect how well the system is operated, and timely remind the maintenance personnel of equipment maintenance. At last, the practical applications of the system are demonstrated with case studies.