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    • 1. 发明申请
    • Method and system of monitoring, sensor validation and predictive fault analysis
    • 监测方法和系统,传感器验证和预测故障分析
    • US20050210337A1
    • 2005-09-22
    • US10793162
    • 2004-03-04
    • Daniel ChesterStephen DanielRichard FickelschererDouglas Lenz
    • Daniel ChesterStephen DanielRichard FickelschererDouglas Lenz
    • G05B23/02G06F11/00
    • G05B23/0254G05B23/0262
    • The present invention provides an improved method and system for real-time monitoring, validation, optimization and predictive fault analysis in a process control system. The invention monitors process operations by continuously analyzing sensor measurements and providing predictive alarms using models of normal process operation and statistical parameters corresponding to normal process data, and generating secondary residual process models. The invention allows for the creation of a fault analyzer directly from linearly independent models of normal process operation, and provides for automatic generation from such process models of linearly dependent process models. Fuzzy logic is used in various fault situations to compute certainty factors to identify faults and/or validate underlying assumptions. In one aspect, the invention includes a real-time sensor data communications bridge module; a state transition logic module; a sensor validation and predictive fault analysis module; and a statistical process control module; wherein each of the modules operates simultaneously.
    • 本发明提供了一种用于过程控制系统中的实时监控,验证,优化和预测故障分析的改进的方法和系统。 本发明通过连续分析传感器测量并使用与正常过程数据相对应的正常过程操作和统计参数的模型以及生成辅助残余过程模型来监测过程操作。 本发明允许直接从正常过程操作的线性独立模型创建故障分析器,并且提供从线性依赖过程模型的这种过程模型的自动生成。 模糊逻辑用于各种故障情况,以计算确定性因素以识别故障和/或验证潜在假设。 一方面,本发明包括实时传感器数据通信桥模块; 状态转换逻辑模块; 传感器验证和预测故障分析模块; 和统计过程控制模块; 其中每个模块同时操作。