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首页> 外文期刊>Journal of Testing and Evaluation: A Multidisciplinary Forum for Applied Sciences and Engineering >Data Acquisition of Ambulatory Air Pressure Test Device Based on Fuzzy Algorithm
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Data Acquisition of Ambulatory Air Pressure Test Device Based on Fuzzy Algorithm

机译:基于模糊算法的动态气压测试装置数据采集

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The data of air pressure test device have different resistive currents under different load strengths, so it is necessary to collect the data of locomotive air pressure test device automatically, and the automatic data acquisition method of locomotive pressure test device based on fuzzy algorithm is put forward. Such elements can also be integrated to the health care system. The input control variable model of locomotive air pressure test device data calculation is constructed. Under the adjustment of pressure and pressure gain, the locomotive no-load output pressure is used as the state characteristic quantity, the output stability of locomotive pressure test device data is analyzed under the mode of high switching frequency, and the electromagnetic interference characteristics of locomotive pressure test device data output are analyzed by combining the adaptive error feedback adjustment method. According to the fuzzy state characteristics of locomotive air pressure test device, the vibration analysis and error adjustment of locomotive pressure test device data are carried out, and the adaptive parameter fusion model of locomotive pressure test device data is established. Combined with virtual air pressure adaptive control and output power adaptive adjustment method, the automatic data acquisition of locomotive pressure test device is realized. The simulation results show that the automatic data acquisition accuracy and stability of the locomotive air pressure test device are high, and the adaptability and environmental adaptability of the data calculation of the locomotive pressure test device are improved.
机译:气压试验装置的数据在不同的负载强度下具有不同的阻电流,因此需要自动采集机车气压试验装置的数据,提出了一种基于模糊算法的机车气压试验装置自动数据采集方法。这些要素也可以纳入卫生保健系统。构建了机车气压试验装置数据计算的输入控制变量模型。在压力和压力增益的调整下,以机车空载输出压力为状态特征量,分析高开关频率模式下机车试压装置数据的输出稳定性,结合自适应误差反馈调整方法,分析机车试压装置数据输出的电磁干扰特性。根据机车气压试验装置的模糊状态特征,对机车气压试验装置数据进行振动分析和误差调整,建立机车气压试验装置数据的自适应参数融合模型。结合虚拟气压自适应控制和输出功率自适应调节方法,实现了机车压力测试装置的自动数据采集。仿真结果表明,机车气压试验装置的自动数据采集精度和稳定性较高,提高了机车气压试验装置数据计算的适应性和环境适应性。

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