Fault Diagnosis and Monitoring Device Design for the Electrical Life Test of Low Voltage Circuit Breaker

被引:0
作者
Zhou, Jungang [1 ,2 ]
Li, Zhigang [1 ]
机构
[1] Hebei Univ Technol, Sch Elect Engn, Tianjin 300130, Peoples R China
[2] Shandong Inst Prod Qual Inspect, Jinan 250102, Peoples R China
来源
IOT AS A SERVICE, IOTAAS 2017 | 2018年 / 246卷
关键词
Low voltage circuit breaker; Electrical life test; Fault diagnosis; Monitoring device; Device net;
D O I
10.1007/978-3-030-00410-1_37
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In the electrical life test, the low voltage circuit breaker may have a variety of faults. At present, that lacks effective fault diagnosis method and monitoring device. To solve the above problem, the method of fault diagnosis and the design of monitoring device are proposed in this paper. The method of fault diagnosis includes the collection of test parameters and the model establishment of fault diagnosis. Based on the fault diagnosis model, the electrical life test monitoring device is designed. The device is used to collect the test data in real time, and analyzed the logic to determine whether the fault occurred during the test. When the fault occurred, the device will automatically take protective measures. In order to improve its intelligence, the intelligent monitoring device is designed based on Device net bus technology. It has been implemented in the Device net control network and has the function of Internet of things. So the real-time monitoring test process of remote network can be realized.
引用
收藏
页码:316 / 329
页数:14
相关论文
共 50 条
[31]   Typical current modelling and feature extraction of high voltage circuit breaker towards condition analysis and fault diagnosis [J].
Ji, Tianyao ;
Ye, Xiuzhen ;
Shi, Mengjie ;
Li, Mengshi ;
Wu, Qinghua .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (08) :1521-1527
[32]   Mechanical Fault Diagnosis Research of High Voltage Circuit Breaker Based on Kernel Principal Component Analysis and SoftMax [J].
Wang Y. ;
Wu J. ;
Ma S. ;
Yang J. ;
Zhao K. .
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2020, 35 :267-276
[33]   A Novel Capsule Convolutional Neural Network with Attention Mechanism for High-Voltage Circuit Breaker Fault Diagnosis [J].
Ye, Xinyu ;
Yan, Jing ;
Wang, Yanxin ;
Lu, Lei ;
He, Ruixin .
ELECTRIC POWER SYSTEMS RESEARCH, 2022, 209
[34]   Fault diagnosis of high voltage circuit breaker based on multi-sensor information fusion with training weights [J].
Zhang, Jianzhong ;
Wu, Yongbin ;
Xu, Zheng ;
Din, Zakiud ;
Chen, Hao .
MEASUREMENT, 2022, 192
[35]   Fault diagnosis of high-voltage circuit breaker based on open-set theory fusion model [J].
Zhou, Jinglong ;
Zhao, Hongshan ;
Lin, Shiyu ;
Si, Haoming ;
Li, Bohan .
IET ELECTRIC POWER APPLICATIONS, 2025, 19 (01)
[36]   Mechanical fault diagnosis of high voltage circuit breaker based on CEEMDAN sample entropy and FWA-SVM [J].
Zhao S. ;
Ma L. ;
Zhu J. ;
Li J. ;
Zhao H. .
Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2020, 40 (03) :181-186
[37]   Fault Diagnosis for High Voltage Circuit Breaker Based on Hilbert-Huang Transform and Support Vector Machine [J].
Hou, Chunguang ;
Jia, Maoyuan ;
Han, Ying ;
Cao, Yundong .
2017 4TH INTERNATIONAL CONFERENCE ON ELECTRIC POWER EQUIPMENT-SWITCHING TECHNOLOGY (ICEPE-ST), 2017, :985-989
[38]   Smart Monitoring and Fault Diagnosis of Joints in High Voltage Electrical Transmission Lines [J].
Bindi, M. ;
Grasso, F. ;
Luchetta, A. ;
Manetti, S. ;
Piccirilli, M. C. .
2019 6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING & MACHINE INTELLIGENCE (ISCMI 2019), 2019, :40-44
[39]   Deep auto-encoder network for mechanical fault diagnosis of high-voltage circuit breaker operating mechanism [J].
Yang Q. ;
Hao F. .
Paladyn, 2023, 14 (01)
[40]   Fault diagnosis of high-voltage circuit breaker based on SO-PAA-GAF and AdaBoost ensemble learning [J].
Si J. ;
Tusongjiang K. ;
Fan X. ;
Gao W. ;
Zhu W. .
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2024, 52 (03) :152-160