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Novel Data Compression Algorithm for Transmission Line Condition Monitoring

Gang Liu, Lei Jia, Taishan Hu, Fangming Deng, Zheng Chen, Tong Sun and Yanchong Feng
Additional contact information
Gang Liu: Electric Power Research Institute, CSG, Guangzhou 510663, China
Lei Jia: Electric Power Research Institute, CSG, Guangzhou 510663, China
Taishan Hu: Electric Power Research Institute, CSG, Guangzhou 510663, China
Fangming Deng: School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China
Zheng Chen: Zhaoqing Power Supply Bureau, Guangdong Power Grid Co., Ltd., Zhaoqing 526060, China
Tong Sun: Zhaoqing Power Supply Bureau, Guangdong Power Grid Co., Ltd., Zhaoqing 526060, China
Yanchong Feng: Zhaoqing Power Supply Bureau, Guangdong Power Grid Co., Ltd., Zhaoqing 526060, China

Energies, 2021, vol. 14, issue 24, 1-18

Abstract: For the problem of data accumulation caused by massive sensor data in transmission line condition monitoring system, this paper analyzes the type and amount of data in the transmission line sensor network, compares the compression algorithms of wireless sensor network data at home and abroad, and proposes an efficient lossless compression algorithm suitable for sensor data in transmission line linear heterogeneous networks. The algorithm combines the wavelet compression algorithm and the neighborhood index sequence algorithm. It displays a fast operation speed and requires a small amount of calculation. It is suitable for battery powered wireless sensor network nodes. By combining wavelet correlation analysis and neighborhood index sequence coding, the compression algorithm proposed in this paper can achieve a high compression rate, has strong robustness to packet loss, has high compression performance, and can help to reduce network load and the packet loss rate. Simulation results show that the proposed method achieves a high compression rate in the compression of the transmission line parameter dataset, is superior to the existing data compression algorithms, and is suitable for the compression and transmission of transmission line condition monitoring data.

Keywords: transmission line; condition monitoring; data compression (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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