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Authors: Mincho Hadjiski 1 and Lyubka Doukovska 2

Affiliations: 1 University of Chemical Technology and Metallurgy, Bulgaria ; 2 Institute of Information and Communication Technologies – BAS, Bulgaria

Keyword(s): Data Fusion, Data Processing, Decision Making, Denoising, Mill Fan, Vibrodiagnosis.

Abstract: In the diagnosis of complex industrial systems arise a lot of sever problems to solve due to the heterogeneous information sources, a large number of directly unmeasurable variables, which should be replaced by softsensing, big uncertainty of current information, temporal uncoherency of some measurements because of the very different requirements for the spectral window of corresponding signals in the different stages of the FDD (Fault Detection and Diagnosis) procedure. In the paper a hybrid approach of multistep procedure is considered for denoising of diagnostic information in order to achieve more realistic and more effective decision in a comparison with the conventional statistical approaches using some techniques from the Computational Intelligence like Neural Networks and Case- Based Reasoning. The main statements accepted in this investigation are: the different stages of complex diagnosis could require different information, different methods of partial diagnosis and differ ent methods of decision making; the main method of hybridization is accepted to be consistent data and decision fusion; signal processing in particular diagnosis stages should be relevant to the main diagnostic goals in the stage. In the paper the proposed method for consistent fusion of data and decisions is implemented for online vibrodiagnosis of mechanical condition of the industrial mill fan of steam boiler in Power plant. (More)

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Paper citation in several formats:
Hadjiski, M. and Doukovska, L. (2012). CONSISTENT DATA AND DECISION FUSION OF HETEROGENEOUS INFORMATION DENOISING IN COMPLEX SYSTEMS DIAGNOSIS. In Proceedings of the First International Conference on Telecommunications and Remote Sensing - ICTRS; ISBN 978-989-8565-28-0, SciTePress, pages 163-169. DOI: 10.5220/0005415401630169

@conference{ictrs12,
author={Mincho Hadjiski. and Lyubka Doukovska.},
title={CONSISTENT DATA AND DECISION FUSION OF HETEROGENEOUS INFORMATION DENOISING IN COMPLEX SYSTEMS DIAGNOSIS},
booktitle={Proceedings of the First International Conference on Telecommunications and Remote Sensing - ICTRS},
year={2012},
pages={163-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005415401630169},
isbn={978-989-8565-28-0},
}

TY - CONF

JO - Proceedings of the First International Conference on Telecommunications and Remote Sensing - ICTRS
TI - CONSISTENT DATA AND DECISION FUSION OF HETEROGENEOUS INFORMATION DENOISING IN COMPLEX SYSTEMS DIAGNOSIS
SN - 978-989-8565-28-0
AU - Hadjiski, M.
AU - Doukovska, L.
PY - 2012
SP - 163
EP - 169
DO - 10.5220/0005415401630169
PB - SciTePress

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