Experimental Study on Calibration of Amplitude-Frequency Measurement Deviation for Microseismic Sensors in Coal Mines
Microseismic monitoring systems (MMS) have become increasingly crucial in detecting tremors in coal mining. Microseismic sensors (MS), integral components of MMS, profoundly influence positioning accuracy and energy calculations. Hence, calibrating these sensors holds immense importance. To bridge t...
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MDPI AG
2023-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/20/8420 |
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| author | Zepeng Han Linming Dou Zonglong Mu Jinrong Cao Yanjiang Chai Shuai Chen |
| author_facet | Zepeng Han Linming Dou Zonglong Mu Jinrong Cao Yanjiang Chai Shuai Chen |
| author_sort | Zepeng Han |
| collection | DOAJ |
| description | Microseismic monitoring systems (MMS) have become increasingly crucial in detecting tremors in coal mining. Microseismic sensors (MS), integral components of MMS, profoundly influence positioning accuracy and energy calculations. Hence, calibrating these sensors holds immense importance. To bridge the research gap in MS calibration, this study conducted a systematic investigation. The main conclusions are as follows: based on calibration tests on 102 old MS using the CS18VLF vibration table, it became evident that certain long-used MS in coal mines exhibited significant deviations in frequency and amplitude measurements, indicating sensor failure. Three important calibration indexes, frequency deviation, amplitude deviation, and amplitude linearity are proposed to assess the performance of MS. By comparing the index of old and new MS, critical threshold values were established to evaluate sensor effectiveness. A well-functioning MS exhibits an absolute frequency deviation below 5%, an absolute amplitude deviation within 55%, and amplitude linearity surpassing 0.95. In normal operations, the frequency deviation of MS is significantly smaller than the amplitude deviation. Simplified waveform analysis has unveiled a linear connection between amplitude deviation and localization results. An analysis of the Gutenberg–Richter microseismic energy calculation formula found that the microseismic energy calculation is influenced by both the localization result and amplitude deviation, making it challenging to pinpoint the exact impact of amplitude deviation on microseismic energy. Reliable MS, as well as a robust MS, serve as the fundamental cornerstone for acquiring dependable microseismic data and are essential prerequisites for subsequent microseismic data mining. The insights and findings presented here provide valuable guidance for future MS calibration endeavors and ultimately can guarantee the dependability of microseismic data. |
| first_indexed | 2024-03-10T20:54:56Z |
| format | Article |
| id | doaj.art-a49bea53df8f4ee282d1fa8d0e15c120 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T20:54:56Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a49bea53df8f4ee282d1fa8d0e15c1202023-11-19T18:02:38ZengMDPI AGSensors1424-82202023-10-012320842010.3390/s23208420Experimental Study on Calibration of Amplitude-Frequency Measurement Deviation for Microseismic Sensors in Coal MinesZepeng Han0Linming Dou1Zonglong Mu2Jinrong Cao3Yanjiang Chai4Shuai Chen5State Key Laboratory of Coal Exploration and Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaState Key Laboratory of Coal Exploration and Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, ChinaState Key Laboratory of Coal Exploration and Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, ChinaState Key Laboratory of Coal Exploration and Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, ChinaMicroseismic monitoring systems (MMS) have become increasingly crucial in detecting tremors in coal mining. Microseismic sensors (MS), integral components of MMS, profoundly influence positioning accuracy and energy calculations. Hence, calibrating these sensors holds immense importance. To bridge the research gap in MS calibration, this study conducted a systematic investigation. The main conclusions are as follows: based on calibration tests on 102 old MS using the CS18VLF vibration table, it became evident that certain long-used MS in coal mines exhibited significant deviations in frequency and amplitude measurements, indicating sensor failure. Three important calibration indexes, frequency deviation, amplitude deviation, and amplitude linearity are proposed to assess the performance of MS. By comparing the index of old and new MS, critical threshold values were established to evaluate sensor effectiveness. A well-functioning MS exhibits an absolute frequency deviation below 5%, an absolute amplitude deviation within 55%, and amplitude linearity surpassing 0.95. In normal operations, the frequency deviation of MS is significantly smaller than the amplitude deviation. Simplified waveform analysis has unveiled a linear connection between amplitude deviation and localization results. An analysis of the Gutenberg–Richter microseismic energy calculation formula found that the microseismic energy calculation is influenced by both the localization result and amplitude deviation, making it challenging to pinpoint the exact impact of amplitude deviation on microseismic energy. Reliable MS, as well as a robust MS, serve as the fundamental cornerstone for acquiring dependable microseismic data and are essential prerequisites for subsequent microseismic data mining. The insights and findings presented here provide valuable guidance for future MS calibration endeavors and ultimately can guarantee the dependability of microseismic data.https://www.mdpi.com/1424-8220/23/20/8420microseismic monitoring systemmicroseismic sensoramplitude–frequency calibrationpositioning accuracyvibration table |
| spellingShingle | Zepeng Han Linming Dou Zonglong Mu Jinrong Cao Yanjiang Chai Shuai Chen Experimental Study on Calibration of Amplitude-Frequency Measurement Deviation for Microseismic Sensors in Coal Mines Sensors microseismic monitoring system microseismic sensor amplitude–frequency calibration positioning accuracy vibration table |
| title | Experimental Study on Calibration of Amplitude-Frequency Measurement Deviation for Microseismic Sensors in Coal Mines |
| title_full | Experimental Study on Calibration of Amplitude-Frequency Measurement Deviation for Microseismic Sensors in Coal Mines |
| title_fullStr | Experimental Study on Calibration of Amplitude-Frequency Measurement Deviation for Microseismic Sensors in Coal Mines |
| title_full_unstemmed | Experimental Study on Calibration of Amplitude-Frequency Measurement Deviation for Microseismic Sensors in Coal Mines |
| title_short | Experimental Study on Calibration of Amplitude-Frequency Measurement Deviation for Microseismic Sensors in Coal Mines |
| title_sort | experimental study on calibration of amplitude frequency measurement deviation for microseismic sensors in coal mines |
| topic | microseismic monitoring system microseismic sensor amplitude–frequency calibration positioning accuracy vibration table |
| url | https://www.mdpi.com/1424-8220/23/20/8420 |
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