摘要
为了保证瓦斯传感器的可靠运行,提出基于灰色预测模型的故障诊断方法。采用GM(1,1)模型对瓦斯传感器3种常见故障下的运行参数进行预测,当预测值和实际值的误差超过阈值的次数达到设定次数时系统报警。仿真结果显示,该方法可以准确地模拟出传感器的动态特性。
To ensure reliable operation of gas sensors, the approach of fault diagnosis based on grey predictive model was discussed. Under the common faults of gas sensors, parameters were forecasted by GM （ 1, 1 ） model. The system would ring when the number, which deviation between the forecasted data and measured data exceeded threshold, reached the set number. The result shows that the proposed method can be used to simulate dynamic characteristics of gas sensor accurately.
出处
《机床与液压》
北大核心
2013年第13期195-196,177,共3页
Machine Tool & Hydraulics
基金
河南省教育厅科学技术研究重点项目(12A460008)
河南省重点科技攻关项目(112102210104)
