Measurement error analysis of autonomous decentralized load tracking system

Tetsuya Masuishi, Koichi Shibata, Yasuyuki Oki, Kinji Mori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Measurement error analysis is presented for autonomous decentralized load tracking system. We propose a load tracking mechanism based on incomplete management of load information from subsystems. The system employs autonomous decentralized architecture, which enables online expansion and fault tolerance. Each subsystem asynchronously broadcasts load information to the data field shared by the subsystems. Load information in the data field is measured for a limited period of time to make the tracking ability efficient. The number of measurements and the estimation of total load from the measurements are stochastic variables. This paper shows the statistical model of measurement noise disturbing the tracking mechanism.

Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
Pages3656-3661
Number of pages6
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics - Paris
Duration: 2006 Nov 62006 Nov 10

Other

OtherIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
CityParis
Period06/11/606/11/10

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Masuishi, T., Shibata, K., Oki, Y., & Mori, K. (2006). Measurement error analysis of autonomous decentralized load tracking system. In IECON Proceedings (Industrial Electronics Conference) (pp. 3656-3661). [4153035] https://doi.org/10.1109/IECON.2006.347581