Skip to main content
SpringerLink
Log in

Development and Analysis of Algorithmically-Controlled Adaptive Analog Filters as Components in Information and Measurement Systems

  • MEASUREMENTS IN INFORMATION TECHNOLOGIES
  • Published:
Measurement Techniques Aims and scope

This paper describes a measurement-circuit design approach based on switched-capacitor filters, and an analog vibroacoustic signal-matching-and-conversion device. We also develop an adaptive control algorithm for measurement-circuit parameters, and find that analog matching devices can be used advantageously for and monitoring and diagnostics of process status in industrial equipment.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.

Similar content being viewed by others

References

  1. M. P. Kozochkin, A. R. Maslov, and A. N. Porvatov, “Information-measurement and control systems for force and vibroacoustic parameters,” Izmer. Tekhn., No. 8, 5–9 (2015).

  2. М. Serridge, “Fault detection techniques for reliable machine condition monitoring,” Sound and Vibration, No. 23(5), 18–22 (1989).

  3. B. Liu and S.-F. Ling, “On the selection of informative wavelets for machinery diagnosis,” Mech. Syst. Signal Proc., 13, No 11(3), 145–162 (1999).

  4. A. N. Porvatov, “An approach to the development of an information system for diagnostics of lathe equipment with the use of simulation modeling,” Metrologiya, No. 5, 22–28 (2011).

  5. H. Y.-F. Lam, Analog and Digital Filters: Design and Realization [Russian translation], Mir, Moscow (1982).

    Google Scholar 

  6. S. Haykin, Adaptive Filter Theory, Prentice Hall, Upper Saddle River, NJ (2001), 4th ed.

    MATH  Google Scholar 

  7. C. F. N. Cowan and P. M. Grant, Adaptive Filters [Russian translation], Mir, Moscow (1988).

    Google Scholar 

  8. B. Widrow and S. D. Stearns, Adaptive Signal Processing [Russian translation], Radio i Svyaz, Moscow (1989).

    MATH  Google Scholar 

  9. J. Benesty and Y. Huang, Adaptive Signal Processing: Applications to Real-World Problems, Springer-Verlag, Berlin–Heidelberg–New York (2003).

    Book  MATH  Google Scholar 

  10. MAXIM Corporation, MAX262 Microprocessor Programmable Universal Active Filters, https://www.maximintegrated.com/en/products/analog/analog-filters/MAX262.html, acc. May 29, 2018.

  11. Texas Instruments, Programmable Gain Instrumentation Amplifier, www.ti.com/lit/ds/symlink/pga204.pdf, acc. May 29, 2018.

  12. Q. Yongqian and S. Junjie, “Implementation of vibration signals’ tracking anti-aliasing filtering,” Modern Manuf. Eng., No. 2, 86–88 (2006).

  13. Μ. P. Kozochkin, A. P. Maslov, and A. N. Porvatov, “Estimating dynamic stiffness of a micro-milling machine,” Vest. MGTU Stankin, No. 2(25), 12–16 (2013).

  14. A. R. Maslov, Μ. P. Kozochkin, and A. N. Porvatov, Patent 113030 RF, “Adaptive process control system for controlling the cutting process on a metal cutting machine,” publ. July 28, 2011, Izobret. Polezn. Modeli, No. 3 (2011).

  15. Μ. P. Kozochkin and A. N. Porvatov, “Estimation of uncertainty in solving multi-parameter diagnostic problems,” Izmer. Tekhn., No. 2, 41–45 (2015).

Download references

Author information

Authors and Affiliations

  1. STANKIN Moscow State Technological University, Moscow, Russia

    M. P. Kozochkin, A. R. Maslov & A. N. Porvatov

Authors
  1. M. P. Kozochkin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. R. Maslov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. N. Porvatov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. N. Porvatov.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 12, pp. 17–21, December, 2018. Original article submitted July 20, 2018

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kozochkin, M.P., Maslov, A.R. & Porvatov, A.N. Development and Analysis of Algorithmically-Controlled Adaptive Analog Filters as Components in Information and Measurement Systems. Meas Tech 61, 1153–1158 (2019). https://doi.org/10.1007/s11018-019-01563-8

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11018-019-01563-8

Keywords

Search

Navigation