Key Technologies of Intelligent Monitoring of On-load Tap-changer Based on Internet of Things

doi:10.11985/2022.02.022

Abstract

Abstract:

Based on the technical framework of Internet of Things, an embedded intelligent monitoring system for on-load tap-changer(OLTC) is designed. The system mainly extracts feature information from the vibration signal of OLTC, and performs online monitoring and fault diagnosis on the mechanical operation status of OLTC, so as to discover hidden faults in time. The system adopts an embedded system to replace PC, which is small in size, low in cost, low in power consumption, and easy to implement on-site. The system preprocesses the vibration signal in segments, which can compress the original data and highlight the state characteristics. The FFT-based equal-integral-bandwidth method is designed to extract features, which makes the data processing concise and can effectively solve the problem of insufficient computing power in the edge computing of embedded systems. The experimental results show that the system has high fault diagnosis efficiency and accuracy, and has good application prospects.

Key words: OLTC, Internet of Things, vibration, feature extraction, embedded systems

CLC Number:

TM407

PENG Changqing, SHANG Rongyan, FANG Ruiming. Key Technologies of Intelligent Monitoring of On-load Tap-changer Based on Internet of Things[J]. Journal of Electrical Engineering, 2022, 17(2): 194-200.

Figures/Tables 8

References 24

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故障	样本数量	训练样本	故障描述
正常	90	60	无故障,总共测试三次,两次28个样本,一次34个样本,每次测试中间至少拆装一次
切换故障	28	20	调整切换开关位置,使其偏移一定角度
弹簧疲劳	28	20	主弹簧剪短4圈
弹簧疲劳	44	20	主弹簧剪短2圈
触头磨损	28	20	人为制造了1组动、静过渡触头(4个)表面粗糙,模拟触头被电弧击穿灼烧过的故障
触头磨损	44	20	人为制造了A相16个动触头表面粗糙,模拟触头被电弧击穿灼烧过的故障
弧形板拆除	28	20	整个A相弧形板拆除
弧形板松动	28	20	将A相弧形板的螺丝松弛部分力道
选择开关触头松动	28	20	剪掉1圈选择开关触头压力弹簧
选择开关触头脱落	28	20	摘除1组选择开关触头(1组3个)
卡涩	50	30	齿轮盒加入木屑,总共测试两次,样本数分别为12和38,两次木屑量不同

准确率	算法
准确率	WPD	基于FFT的等积分带宽法
参数寻优的准确率	97.19	98.51
验证准确率	98.46	99.29