{"title":"井下流体仪器故障频率与使用时间的相关性分析","authors":"Xiao Tian, Guoying Su","doi":"10.1016/j.geog.2022.12.005","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, we make a statistical analysis of the fault information of the underground fluid instruments of 12 models in China from January 2021 to May 2022 based on the Pearson correlation coefficient, and compare the fault statistics of the meteorological three-element instruments of 3 models during the study period. The results show that: (1) The numbers of faults of the underground fluid instruments of 12 models with different service times are basically positively correlated with the numbers of the corresponding instruments, with good consistency. Moreover, the automatic observation instruments (8 models) with more than 30 units are significantly correlated at a 0.05 significance level (95% confidence level). Even at a 0.01 significance level (99% confidence level), there are 7 models (7/8) with significant correlation. (2) The positive and negative correlations between the monthly average number of faults and the corresponding service times of the underground fluid instruments of 12 models with different service times are random, and there are 9 models (75%) with no significant correlation at a 0.05 significance level (95% confidence level), while 12 models (100%) with no significant correlation at a 0.01 significance level (99% confidence level). (3) The monthly average numbers of faults of the underground fluid instruments of 12 models are basically 0.02–0.05 times/(unit·month), and the overall fault frequency is low. (4) The fault statistics results of the meteorological three-element instruments of 3 models are consistent with the characteristics of the underground fluid instruments of 12 models. In general, there is no significant correlation between the fault frequency and the service time of underground fluid instruments. (5) The results of this paper demonstrate that the service time of underground fluid instruments cannot be taken as the main reason for whether to update the instruments. Similarly, the fault frequency of the instruments cannot be taken as the main reason for the service life of the instruments in the process of formulating the service life standards of underground fluid instruments.</p></div>","PeriodicalId":46398,"journal":{"name":"Geodesy and Geodynamics","volume":"14 4","pages":"Pages 411-418"},"PeriodicalIF":2.8000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correlation analysis between fault frequency and service time of underground fluid instruments\",\"authors\":\"Xiao Tian, Guoying Su\",\"doi\":\"10.1016/j.geog.2022.12.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this paper, we make a statistical analysis of the fault information of the underground fluid instruments of 12 models in China from January 2021 to May 2022 based on the Pearson correlation coefficient, and compare the fault statistics of the meteorological three-element instruments of 3 models during the study period. The results show that: (1) The numbers of faults of the underground fluid instruments of 12 models with different service times are basically positively correlated with the numbers of the corresponding instruments, with good consistency. Moreover, the automatic observation instruments (8 models) with more than 30 units are significantly correlated at a 0.05 significance level (95% confidence level). Even at a 0.01 significance level (99% confidence level), there are 7 models (7/8) with significant correlation. (2) The positive and negative correlations between the monthly average number of faults and the corresponding service times of the underground fluid instruments of 12 models with different service times are random, and there are 9 models (75%) with no significant correlation at a 0.05 significance level (95% confidence level), while 12 models (100%) with no significant correlation at a 0.01 significance level (99% confidence level). (3) The monthly average numbers of faults of the underground fluid instruments of 12 models are basically 0.02–0.05 times/(unit·month), and the overall fault frequency is low. (4) The fault statistics results of the meteorological three-element instruments of 3 models are consistent with the characteristics of the underground fluid instruments of 12 models. In general, there is no significant correlation between the fault frequency and the service time of underground fluid instruments. (5) The results of this paper demonstrate that the service time of underground fluid instruments cannot be taken as the main reason for whether to update the instruments. Similarly, the fault frequency of the instruments cannot be taken as the main reason for the service life of the instruments in the process of formulating the service life standards of underground fluid instruments.</p></div>\",\"PeriodicalId\":46398,\"journal\":{\"name\":\"Geodesy and Geodynamics\",\"volume\":\"14 4\",\"pages\":\"Pages 411-418\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geodesy and Geodynamics\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1674984723000137\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geodesy and Geodynamics","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1674984723000137","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
Correlation analysis between fault frequency and service time of underground fluid instruments
In this paper, we make a statistical analysis of the fault information of the underground fluid instruments of 12 models in China from January 2021 to May 2022 based on the Pearson correlation coefficient, and compare the fault statistics of the meteorological three-element instruments of 3 models during the study period. The results show that: (1) The numbers of faults of the underground fluid instruments of 12 models with different service times are basically positively correlated with the numbers of the corresponding instruments, with good consistency. Moreover, the automatic observation instruments (8 models) with more than 30 units are significantly correlated at a 0.05 significance level (95% confidence level). Even at a 0.01 significance level (99% confidence level), there are 7 models (7/8) with significant correlation. (2) The positive and negative correlations between the monthly average number of faults and the corresponding service times of the underground fluid instruments of 12 models with different service times are random, and there are 9 models (75%) with no significant correlation at a 0.05 significance level (95% confidence level), while 12 models (100%) with no significant correlation at a 0.01 significance level (99% confidence level). (3) The monthly average numbers of faults of the underground fluid instruments of 12 models are basically 0.02–0.05 times/(unit·month), and the overall fault frequency is low. (4) The fault statistics results of the meteorological three-element instruments of 3 models are consistent with the characteristics of the underground fluid instruments of 12 models. In general, there is no significant correlation between the fault frequency and the service time of underground fluid instruments. (5) The results of this paper demonstrate that the service time of underground fluid instruments cannot be taken as the main reason for whether to update the instruments. Similarly, the fault frequency of the instruments cannot be taken as the main reason for the service life of the instruments in the process of formulating the service life standards of underground fluid instruments.
期刊介绍:
Geodesy and Geodynamics launched in October, 2010, and is a bimonthly publication. It is sponsored jointly by Institute of Seismology, China Earthquake Administration, Science Press, and another six agencies. It is an international journal with a Chinese heart. Geodesy and Geodynamics is committed to the publication of quality scientific papers in English in the fields of geodesy and geodynamics from authors around the world. Its aim is to promote a combination between Geodesy and Geodynamics, deepen the application of Geodesy in the field of Geoscience and quicken worldwide fellows'' understanding on scientific research activity in China. It mainly publishes newest research achievements in the field of Geodesy, Geodynamics, Science of Disaster and so on. Aims and Scope: new theories and methods of geodesy; new results of monitoring and studying crustal movement and deformation by using geodetic theories and methods; new ways and achievements in earthquake-prediction investigation by using geodetic theories and methods; new results of crustal movement and deformation studies by using other geologic, hydrological, and geophysical theories and methods; new results of satellite gravity measurements; new development and results of space-to-ground observation technology.