Skip to main content
Log in

Detection of Anomalous Measurements When Analyzing Transient Processes

  • Published:
Measurement Techniques Aims and scope

Abstract

The present article is devoted to processing the results of measurements represented by a single realization of a transient random process with a limited volume of a priori information. The procedure is based on the highly efficient method of the multiplication of estimates.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  1. A. F. Fomin, O. N. Novoselov, and A. V. Plyushchev, Rejection of Anomalous Results of Measurements [in Russian], Énergoatomizdat, Moscow (1985).

    Google Scholar 

  2. V. I. Marchuk, Abstracts of Papers Presented at Third Intern. Scientific and Technical Conf. on New Technologies for Controlling the Motion of Technical Objects” [in Russian], SKNTs VSh, Rostov-on-Don (2000), p. 129.

    Google Scholar 

  3. S. M. Perevertkin et al., On-Board Telemetric Apparatus of Space Vehicles [in Russian], Mashinostroenie, Moscow (1977).

    Google Scholar 

  4. V. I. Marchuk and A. I. Sherstobitov, Abstracts of Papers Presented at Fifth Intern. Scientific and Technical Conf. on Digital Processing of Signals and Its Application [in Russian], Insvyaz'izdat, Moscow (2003), p. 503.

    Google Scholar 

  5. V. I. Marchuk and A. I. Sherstobitov, Identification of Anomalous Measurements in Automated Primary Information Processing Systems, Registered Program Number 2003610367 (February 12, 2003): Computer Program; Data Base; Topology of Integrated Microcircuits [in Russian], FIPS, Moscow (2003), No. 2(43), p. 79.

    Google Scholar 

  6. V. I. Marchuk and A. I. Sherstobitov, Identification of Trend by the Method of the Multiplication of Estimates for a Limited Volume of a priori Data, Registered Program Number 2003610368 (February 12, 2003): Computer Program; Data Base; Topology of Integrated Microcircuits [in Russian], FIPS, Moscow (2003).

    Google Scholar 

Download references

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sherstobitov, A.I. Detection of Anomalous Measurements When Analyzing Transient Processes. Measurement Techniques 47, 5–9 (2004). https://doi.org/10.1023/B:METE.0000022496.47164.24

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:METE.0000022496.47164.24

Navigation