Statistical analysis of operational faults of Shandong Seismic Station Network
Statistical methods such as standard deviation analysis and descriptive statistics are used to summarize and analyze the historical fault data of 126 seismic stations in Shandong Seismic Station Network from 2019 to 2023.The station fault types are classified into four major types,namely,communication faults,power supply faults,professional equipment faults,and human factors impacts.By calculating the number and duration of each type of fault in the past five years,the results show that communication and power supply faults account for as much as 77%of the total number of faults.Through the statistics of the number of monthly failures,it can be seen that the frequency of failures in July-September is significantly higher than other months,what indicatethat the station is mainly affected by the rainy season and high temperatures.Based on the above analysis results,targeted measures and suggestions are proposed to lay the foundation for further improvementof the operation rate and stability.
Shandong Seismic Station Networkmathematical statisticsoperating ratefault analysissuggested measures
万方数据
维普
