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Advanced software tools for digital loose part monitoring systems

Abstract

The paper describes two software modules as analysis tools for digital loose part monitoring systems. The first module is called acoustic module which utilizes the multi-media features of modern personal computers to replay the digital stored short-time bursts with sufficient length and in good quality. This is possible due to the so-called puzzle technique developed at ISTec. The second module is called classification module which calculates advanced burst parameters and classifies the acoustic events in pre-defined classes with the help of an artificial multi-layer perception neural network trained with the back propagation algorithm. (author). 7 refs, 7 figs.
Authors:
Ding, Y [1] 
  1. Institute for Safety Technology (ISTec) GmbH, Garching (Germany)
Publication Date:
Dec 31, 1996
Product Type:
Conference
Report Number:
INIS-mf-15517; CONF-9605269-
Reference Number:
SCA: 210000; PA: AIX-28:031013; EDB-97:054263; SN: 97001765433
Resource Relation:
Conference: Specialists` meeting on monitoring and diagnosis systems to improve nuclear power plant reliability and safety, Gloucester (United Kingdom), 14-17 May 1996; Other Information: PBD: 1996; Related Information: Is Part Of Monitoring and diagnosis systems to improve nuclear power plant reliability and safety. Proceedings of the specialists` meeting; PB: 271 p.
Subject:
21 NUCLEAR POWER REACTORS AND ASSOCIATED PLANTS; NUCLEAR POWER PLANTS; MONITORING; ACOUSTIC MONITORING; ALGORITHMS; COMPUTER CODES; DIGITAL SYSTEMS; NEURAL NETWORKS
OSTI ID:
454191
Research Organizations:
International Atomic Energy Agency, Vienna (Austria); Nuclear Electric plc, Barnwood (United Kingdom)
Country of Origin:
IAEA
Language:
English
Other Identifying Numbers:
Other: ON: DE97620704; TRN: XA9743577031013
Availability:
INIS; OSTI as DE97620704
Submitting Site:
INIS
Size:
pp. 245-252
Announcement Date:

Citation Formats

Ding, Y. Advanced software tools for digital loose part monitoring systems. IAEA: N. p., 1996. Web.
Ding, Y. Advanced software tools for digital loose part monitoring systems. IAEA.
Ding, Y. 1996. "Advanced software tools for digital loose part monitoring systems." IAEA.
@misc{etde_454191,
title = {Advanced software tools for digital loose part monitoring systems}
author = {Ding, Y}
abstractNote = {The paper describes two software modules as analysis tools for digital loose part monitoring systems. The first module is called acoustic module which utilizes the multi-media features of modern personal computers to replay the digital stored short-time bursts with sufficient length and in good quality. This is possible due to the so-called puzzle technique developed at ISTec. The second module is called classification module which calculates advanced burst parameters and classifies the acoustic events in pre-defined classes with the help of an artificial multi-layer perception neural network trained with the back propagation algorithm. (author). 7 refs, 7 figs.}
place = {IAEA}
year = {1996}
month = {Dec}
}