Open AccessGIS vibration test method and characteristic signal recognition
Author(s) -
Bin Qu,
Yongning Wang,
Liangsheng Zhou,
Kun Wang,
Ziyue Wang,
Jian Wang,
Haowei Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1865/3/032021
Subject(s) - vibration , fault (geology) , signal (programming language) , acoustics , mechanical vibration , cover (algebra) , computer science , natural frequency , field (mathematics) , engineering , structural engineering , pattern recognition (psychology) , electronic engineering , artificial intelligence , mechanical engineering , mathematics , geology , physics , seismology , pure mathematics , programming language
Based on the characteristics of GIS insulation and mechanical fault types and practical measurement experience, two typical vibration measurement methods, direct measurement method and natural frequency measurement method, are proposed in this paper. Then, based on the real data of experiment and field measurement, the vibration signals of typical insulation fault and mechanical fault such as spike discharge and end cover looseness are compared, analyzed and summarized, and their respective data characteristics are extracted, which can provide the basis for the determination of GIS vibration fault types.