Skip to main content

Signal-Triggered Automatic Acquisition Method for Electrical Leakage Fault Data of Electrical Circuits

  • Conference paper
  • First Online:
Advanced Hybrid Information Processing (ADHIP 2019)

Abstract

Conventional electrical circuit leakage fault data acquisition technology of leakage fault information collection, Failure to eliminate noise interference, resulting in failure to achieve real-time acquisition of circuit leakage fault data. There is a problem of low data accuracy and large noise interference, therefore put forward based on signal trigger electrical wiring leakage fault data automatic acquisition methods. Electrical wiring leakage fault detection based on signal trigger automatic acquisition mechanism, structures, acquisition model system, the acquisition model system hardware, electrical wiring to realize automatically leakage failure data acquisition model building; Automatically determine the leakage failure data acquisition software workflow, based on the leakage current fault detection algorithm and software anti-interference design, implementation is based on signal trigger automatic electric circuit leakage failure data collection. The experimental data show that the proposed automatic collection method is 35.24% more accurate than the traditional collection method, which is suitable for automatic collection of leakage fault data of different electrical circuits at different times.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

References

  1. Han, B.Z., Yu, L.F.: Fault diagnosis method of actuator based on Kalman filter bank. Comput. Simul. 30(2), 93–96 (2013)

    MathSciNet  Google Scholar 

  2. Chen, Y.H., Deng, X.G.: Improvement and simulation of remote nuclear radiation data network acquisition method. Comput. Simul. 33(6), 274–277 (2016)

    Google Scholar 

  3. Duan, Z.M., Li, C., Cong, P.T., et al.: Remote fault signal acquisition method for fan fault detection based on STM32F407. Instrum. Technol. Sens. 6, 176–178 (2017)

    Google Scholar 

  4. Wu, Z., Zhang, J.C.: Application of improved EEMD data fusion method in bearing fault diagnosis. J. Beijing Jiaotong Univ. 40(3), 43–49 (2016)

    Google Scholar 

  5. Wu, H.L., Bai, Z.Q., Zhang, Y., et al.: Design and implementation of low frequency radio astronomy signal acquisition circuit based on modulated broadband converter. J. Comput. Appl. 38(2), 610–614 (2018)

    Google Scholar 

  6. Sun, S.G., Zhang, Q., Du, T.X., et al.: Study on the method of evaluating the failure degree of low-voltage universal breaker based on vibration signal. Proc. CSEE 37(18), 5473–5482 (2017)

    Google Scholar 

  7. Zhou, Y.T., Jiang, G.D., Tao, T., et al.: Multi-card synchronous acquisition method based on EnDat data transmission cycle. Combined Mach. Tool Autom. Manuf. Technol. 12, 9–12 (2016)

    Article  Google Scholar 

  8. Li, C., Cong, P.T., Duan, Z.M., et al.: Vibration signal acquisition method based on adaptive sampling frequency and AD7606. Instrum. Technol. Sens. 7, 116–120 (2017)

    Google Scholar 

  9. Yang, K., Zhang, Q.C., Yang, J.H., et al.: Fault diagnosis method for series arc based on fractal dimension and support vector machines. Electrotechnics 31(2), 70–77 (2016)

    MathSciNet  Google Scholar 

  10. Zhang, L.P., Geng, X.R., Shi, D.Y.: Research on low voltage arc fault identification method based on EMD and ELM. J. Electr. Mach. Control 20(9), 54–60 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ming-fei Qu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Qu, Mf., Ma, Db. (2019). Signal-Triggered Automatic Acquisition Method for Electrical Leakage Fault Data of Electrical Circuits. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-030-36405-2_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-36405-2_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36404-5

  • Online ISBN: 978-3-030-36405-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics