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出 处:《自动化技术与应用》2017年第7期60-63,68,共5页Techniques of Automation and Applications
摘 要:文章从几种主要供电系统的优劣比较入手,对非典型TN-C供电系统的形成原因进行了分析。根据神经网络的原理,采用BP算法定量分析了非典型TN-C供电系统中漏电电流与负载不平衡性的关系。对漏电电流与接地电阻之间的关系进行了论述,分析了其对精密测量设备的影响及危害,并提出了相应的防范措施,解决了实际工程应用上容易忽视的重大安全问题。This paper compares the advantages and disadvantages of several main power supply system, and then analyzes the causes of atypical TN-C power supply system. According to the principle of neural network, BP algorithm is used to analyze the relationship between leakage current and load imbalance of atypical TN-C power supply system. The relationship between leakage current and grounding resistance is discussed, and then analyzes the influence and harm of the precision measuring equipment. Meanwhile, this paper puts forward the corresponding preventive measures, it solves the practical engineering application of the important safety problems easily overlooked.
分 类 号:TM762[电气工程—电力系统及自动化]
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