论文部分内容阅读
水电厂的在线监测系统采集了大量监测对象的海量数据,而智能水电厂统一数据中心为状态检修辅助决策系统能有效分析设备状态提供了一个强大的应用平台。状态预测是状态检修辅助决策系统中一个重要的组成部分,本文以水电厂主设备在线监测与状态检修辅助决策系统为项目背景,引入了样本选择、趋势预测的内容,并重点介绍了趋势预测的各种算法,提出了趋势分析在状态预测中的应用策略。
The on-line monitoring system of hydropower plant collects a large amount of data on a large number of monitoring objects, and the unified datacenter of a smart hydropower plant provides a powerful application platform for the state-aided decision support system to effectively analyze the status of equipment. State prediction is an important part of the state-assisted decision support system. In this paper, based on the project background of the on-line monitoring and condition overhauling auxiliary decision-making system for the main equipment of hydropower plants, this paper introduces the sample selection and trend forecasting, and introduces the trend forecast Various algorithms, put forward the application of trend analysis in state prediction.