一种非线性系统的传感器故障检测与诊断新方法
A New Approach to Sensor Fault Detection and Diagnostics of Nonlinear Systems
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摘要: 基于一种非线性系统的伪偏差分离估计算法和贝叶斯分类算法,给出了一种非线性系统 的传感器故障检测与诊断的新方法.对一个大型造纸机采用实际模型进行的数值仿真表明, 该方法非常适用于工业系统传感器的在线故障检测与诊断.Abstract: Based on a pseudo-separate-bias estimation algorithm and a modified Bayes's classification algorithm, a new approach to sensor fault detection and diagnostics of nonlinear systems is proposed. The proposed approach is used to design a sensor fault diagnostics system for a large real papermachine. Computer simulation results show that the proposed approach is much suitable for on-line detection and diagno-stics of industrial sensors.
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Key words:
- Nonlinear system /
- sensor /
- fault detection /
- fault diagnostics
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