Study on Signal Processing Technology for Slope Instability in Plateau Substations

Due to the complex climate and geological conditions in the plateau area, there is a widespread risk of slope instability in high-altitude substations. In order to minimize the adverse effects of slope instability on high-altitude substations and ensure the normal operation of high-altitude power transmission and transformation, the information processing technology for slope instability in plateau substations is particularly important. This article first presents a schematic diagram of the slope structure of a plateau substation, and then studies the wavelet algorithm and particle swarm wavelet algorithm. Afterwards, the particle swarm wavelet algorithm is improved, and the slope signal of the plateau substation is processed based on the above algorithms. Finally, the paper verified through comparative analysis that the improved particle swarm wavelet algorithm is more accurate and effective than the other two algorithms.

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Published
2025-07-11
DOI
https://doi.org/10.1109/eicct65471.2025.11099755
Primary Topic
Advanced Decision-Making Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Study on Signal Processing Technology for Slope Instability in Plateau Substations

Yilin Wang, Jiayi Yao, Gang Feng, Hongliang Wang
Advanced Decision-Making Techniques
article

Study on Signal Processing Technology for Slope Instability in Plateau Substations

Yilin Wang, Jiayi Yao, Gang Feng, Hongliang Wang
article en

Abstract

Due to the complex climate and geological conditions in the plateau area, there is a widespread risk of slope instability in high-altitude substations. In order to minimize the adverse effects of slope instability on high-altitude substations and ensure the normal operation of high-altitude power transmission and transformation, the information processing technology for slope instability in plateau substations is particularly important. This article first presents a schematic diagram of the slope structure of a plateau substation, and then studies the wavelet algorithm and particle swarm wavelet algorithm. Afterwards, the particle swarm wavelet algorithm is improved, and the slope signal of the plateau substation is processed based on the above algorithms. Finally, the paper verified through comparative analysis that the improved particle swarm wavelet algorithm is more accurate and effective than the other two algorithms.

Kunming University of Science and Technology (CN), Kunming University (CN)
Data Center of Management Science, National Natural Science Foundation of China - Peking University
Climate action
Openalex Percentile: Top 71%
Advanced Decision-Making Techniques
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Study on Signal Processing Technology for Slope Instability in Plateau Substations — Yilin Wang, Jiayi Yao, et al. · (2025) | TGRS Research Map | TGRS