| 神经网络在低压脱扣装置选择上的应用 |
| |
| 引用本文： | 徐卫东,彭丹,陈云龙,刁庆宪.神经网络在低压脱扣装置选择上的应用[J].防灾减灾工程学报,2017(1):29-33. |
| |
| 作者姓名： | 徐卫东 彭丹 陈云龙 刁庆宪 |
| |
| 作者单位： | 广东工业大学自动化学院,广东广州 510006;广东紫光电气有限公司,广东,东莞 523000 |
| |
| 基金项目： | 东莞市科技局产学研合作项目(2015509132215)。 |
| |
| 摘 要： | 低压脱扣装置应用于环境复杂的场合, 选型不当易使得电力事故频发,不利于电力系统的可靠运行。通过分析影响低压脱扣选择的因素,利用Back Propagation神经网络进行建模,提出了一种低压脱扣装置自动选择预测方法,结果表明:该方法在准确性与可重复性.上与传统方法相比具有较大优势,在工程应用中有一定的参考作用。
|
| 关 键 词： | 神经网络 低压脱扣 选型系统 |
Application of neural network in the selection of low voltage tripping device |
| |
| XU Weidong,PENG Dan,CHEN Yunlong,DIAO Qingxian.Application of neural network in the selection of low voltage tripping device[J].Journal of Disaster Prevent and Mitigation Eng,2017(1):29-33. |
| |
| Authors: | XU Weidong PENG Dan CHEN Yunlong DIAO Qingxian |
| |
| Abstract: | Low voltage tripping device is applied in complex environment. The improper modeselection will make frequent power accident and harm the reliable operation of the power system. thispaper analyzes the factors affecting the selection type of low voltage trip device, uses Back Propagationneural network to build model, and provides a new forecasting method for the selection type of lowvoltage trip. The result shows that this method have greater advantage than traditional methods in theaccuracy and repeatability, and has reference value in engineering applications. |
| |
| Keywords: | |
|
| 点击此处可从《防灾减灾工程学报》浏览原始摘要信息 |
| 点击此处可从《防灾减灾工程学报》下载免费的PDF全文 |
|
