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| | In recent years,N type thermocouple is the importance advance in research of base thermocouple alloy materials.As the temperature sensor,the long term thermol stability is payed most attention.The articul test he long term thermol stability of N type thermocouple and armoured N type thermocouple,the experiment shows that both N type thermocouple and armoured N type thermocouple have the good long term,high temperature thermol stabiliy reference to the standard.It is good performance express.It has the propo... | | N型热电偶是近20年廉金属热电偶合金材料研究方面取得的重要成果,有明显的优点。而作为温度传感器,热电偶在长期使用过程中的热电稳定性是人们最为关心的问题。本文通过对N型热电偶合金丝及N型铠装热电偶的长期稳定性试验的考核,结果无论是用氧化铝绝缘的裸丝N型热电偶,还是铠装N型热电偶,在有关标准推荐的长期最高工作温度下试验,热电偶均呈现了良好的长期稳定性。故表明N型铠装热电偶的长期稳定性能良好,大有取代K型热电偶成为工业测温的主要热电偶品种的趋势。 | | 文摘来源 | | A correcting nonlinear errors of the thermocouple sensor based on Radial Basis Function Neural Network using particle swarm optimization is introduced.It solves the shortcoming of Thermocouple Sensor's application on large data.The result of experiment shows that the nonlinear calibration based on RBF-PSO has higher precision than the method based on BP and RBF.Then,PSO-RBF is used to test fire-path temperature in the anode baking.It is proved that the method is effective. | | 为了解决大样本数据情况下N型热电偶应用中存在的问题,本文提出了基于粒子群算法优化径向基神经网络(RBF-PSO)进行热电偶非线性校正的新方法.仿真结果表明,采用该方法比以往采用的BP网络和RBF网络方法具有更高的拟合精度;同时以阳极焙烧过程中燃烧室温度为对象进行了仿真和实际应用研究,取得了满意的结果. | | 文摘来源 | | Aiming at the problem existed in the application of N type thermocouple with small data samples, the least squares support vector machine (LSSVM) method for correcting nonlinear error of thermocouple sensor is introduced. This method is compared with some commonly used calibration methods, such as BP neural network, RBF neural network and ANFIS method. The result of experiment shows that the nonlinear calibration method based on LSSVM has higher precision than the methods based on BP, RBF or ANFIS. LSSVM me... | | 本文针对具有小样本数据的N型热电偶在应用中存在的问题,提出了一种基于最小二乘支持向量机对热电偶进行非线性校正的方法,并与以往采用的BP网络、RBF网络和ANFIS校正方法进行了比较。结果表明,采用最小二乘支持向量机的校正精度高于以上3种校正方法;同时以阳极焙烧过程中料箱温度为对象进行了仿真和实际应用研究,取得了满意的结果。 | | 文摘来源 | |   | | << 更多相关文摘 |
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