【摘 要】
：
压力传感器在各大工厂的生产线上大量应用,由于工作环境高温,存在粉尘、水汽等情况,会导致压力传感器寿命缩短,设备出现故障.针对此问题文章以压力传感器运行数据为研究对象,
【机 构】
：
北京理工大学珠海学院,广东 珠海 519088
论文部分内容阅读
压力传感器在各大工厂的生产线上大量应用,由于工作环境高温,存在粉尘、水汽等情况,会导致压力传感器寿命缩短,设备出现故障.针对此问题文章以压力传感器运行数据为研究对象,通过对数据处理后,分别建立时间序列预测模型和LSTM模型,设定数据分类判定准则,对比模型的预测准确率,选择最优的模型对未来设备运行状态进行预判,并进行剩余寿命预测.试验结果表明:为了对模型精度进行计算,将AR(7,0,0)作为拟合模型,该模型能够准确地预测传感器未来的运行趋势且模型的准确率达到96.14％,说明模型具有较高的可靠性,预测结果较准确,计算得到压力传感器运行周期为412h,并在265h附近开始退化.
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