Skip to main content

Factors Affecting the Accuracy of Acoustic Emission Sources Localization

  • Chapter
  • First Online:
Velocity-Free Localization Methodology for Acoustic and Microseismic Sources
  • 164 Accesses

Abstract

In practical application, localization accuracy is closely associated with environmental conditions. Therefore, the influence of temperature, velocity, sensor position, stress stages and optimization algorithms on acoustic emission localization accuracy are investigated. A number of experiments are designed and conducted where the velocity-free methods and traditional methods are applied to source localization. The results reveal some regulations concerning location accuracy and based on them some suggestions are put forward to improve location accuracy in different conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Change history

  • 09 May 2023

    .

References

  1. Xiao P, Hu Q-C, Tao Q, Dong L-J, Yang Z-F, Zhang W-B (2020) Acoustic emission location method for quasi-cylindrical structure with complex hole. IEEE Access 8:35263–35275. https://doi.org/10.1109/access.2020.2972411

    Article  Google Scholar 

  2. Ji H-G (2004) Research and application of acoustic emission performance in concrete materials. Coal Industry Press, Beijing

    Google Scholar 

  3. Liu Y-J, Huang K, Zhang K-N, Chen K-P, Wen J-P, Chen Y-G, Jiang X-L, Huang B (2003) Experimentation and research on properties of simulated rock. Build Tech Dev 30(8):62–63

    Google Scholar 

  4. Zhou Z-L, Jing Z, Xin C, Rui Y-C, Chen L-J, Wang H-Q (2020) Acoustic emission source location considering refraction in layered media with cylindrical surface. Trans Nonferrous Metals Soc China 30(3):789–799

    Article  Google Scholar 

  5. Dong L-J, Tao Q, Hu Q-C (2021) Influence of temperature on acoustic emission source location accuracy in underground structure. Trans Nonferrous Metals Soc China 31(8):2468–2478. https://doi.org/10.1016/S1003-6326(21)65667-4

    Article  Google Scholar 

  6. Fatu D (2001) Kinetics of gypsum dehydration. J Therm Anal Calorim 65(1):213–220

    Article  Google Scholar 

  7. Gollob S, Kocur GK, Schumacher T, Mhamdi L, Vogel T (2017) A novel multi-segment path analysis based on a heterogeneous velocity model for the localization of acoustic emission sources in complex propagation media. Ultrasonics 74:48–61

    Article  Google Scholar 

  8. Dong L-J, Li X-B, Zhou Z-L, Chen G-H, Ma J (2015) Three-dimensional analytical solution of acoustic emission source location for cuboid monitoring network without pre-measured wave velocity. Trans Nonferrous Metals Soc China 25(1):293–302

    Article  Google Scholar 

  9. Dong L-J, Tang Z, Li X-B, Chen Y-C, Xue J-C (2020) Discrimination of mining microseismic events and blasts using convolutional neural networks and original waveform. J Central South Univ 27(10):3078–3089

    Article  Google Scholar 

  10. Dong L-J, Zhang Y-H, Sun D-Y, Chen Y-C, Tang Z (2022) Stage characteristics of acoustic emission and identification of unstable crack state for granite fractures. Chin J Rock Mechan Eng 41:120–131

    Google Scholar 

  11. Dong L-J, Li X-B, Tang L-Z, Gong F-Q (2011) Mathematical functions and parameters for microseismic source location without pre-measuring speed. Chin J Rock Mechan Eng 30(10):2057–2067

    Google Scholar 

  12. Dong L-J, Li X-B, Tang Z (2013) Main influencing factors for the accuracy of microseismic source location. Sci Technol Rev 31(24):26–32

    Google Scholar 

  13. Yuan Y-X, Sun W-Y (1997) Optimization theory and methods. Science Press, Beijing

    Google Scholar 

  14. Chong KPE, Żak HS (2013) An introduction to optimization. John Wiley & Sons Inc., Hoboken

    Google Scholar 

  15. Zelinka I (2004) SOMA—self-organizing migrating algorithm. in: new optimization techniques in engineering. Springer, Berlin, Heidelberg, Berlin, Heidelberg, pp 167–217. https://doi.org/10.1007/978-3-540-39930-8_7

  16. Shi Y, Eberhart R (1998) A modified particle swarm optimizer. In: 1998 IEEE international conference on evolutionary computation proceedings. IEEE world congress on computational intelligence (Cat No 98TH8360), 1998. IEEE pp 69–73

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Dong, L., Li, X. (2023). Factors Affecting the Accuracy of Acoustic Emission Sources Localization. In: Velocity-Free Localization Methodology for Acoustic and Microseismic Sources. Springer, Singapore. https://doi.org/10.1007/978-981-19-8610-9_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-8610-9_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8609-3

  • Online ISBN: 978-981-19-8610-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics