您当前的位置：
首页 >
文章列表页 >
Substation Infrared Image Fuzzy Enhancement Algorithms Based on Improved Adaptive Genetic Theory
更新时间：2023-09-09
|

    • Substation Infrared Image Fuzzy Enhancement Algorithms Based on Improved Adaptive Genetic Theory

    • Vol. 41, Issue 3, Pages: 902-908(2015)

    扫 描 看 全 文

  • CUI Haoyang, XU Yongpeng, SUN Yue, et al. Substation Infrared Image Fuzzy Enhancement Algorithms Based on Improved Adaptive Genetic Theory. [J]. 41(3):902-908(2015) DOI：

  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Measures for Optimized Voltage Blance Along Connection Line to External Grounding Device
Characteristics of Surface High-resistance Coverings in Grounding System
Connection Method of Grounding Grids for Internet Data Center Co-sited with Substation
Active Preventive Strategy of Power Frequency Short-circuit Ground Fault for Internet Data Center Co-sited with Substation
Preventive Strategy for Power Frequency Magnetic Field Inside Internet Data Center Co-sited with Substation

Related Author

No data

Related Institution

Department of Electrical Engineering, Tsinghua University
Huizhou Power Supply Bureau, Guangdong Power Grid Corporation
China Information Technology Consulting and Design Institute Co., Ltd.
State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Department of Electrical Engineering, Tsinghua University
Global Certification and Test Center, Huawei Technologies Co., Ltd.
0