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Semantic voice search in IETP: filling the gap for maintenance 4.0

Henrique Costa Marques (AeroLogLab‐ITA, Instituto Tecnológico de Aeronáutica, São José dos Campos, Brazil)
Alessandro Giacotto (AeroLogLab‐ITA, Instituto Tecnológico de Aeronáutica, São José dos Campos, Brazil)
Carlos Eduardo Scussiatto (AeroLogLab‐ITA, Instituto Tecnológico de Aeronáutica, São José dos Campos, Brazil)
Fernando Teixeira Mendes Abrahão (AeroLogLab‐ITA, Instituto Tecnológico de Aeronáutica, São José dos Campos, Brazil)

Journal of Quality in Maintenance Engineering

ISSN: 1355-2511

Article publication date: 23 December 2020

Issue publication date: 12 July 2021

209

Abstract

Purpose

A framework is being developed to help Integrated Electronic Technical Publications (IETP) consultation inside and outside the aviation maintenance hangar. The expected results are the reduction in time to access the desired IETP and to assist mechanics while performing maintenance tasks using voice recognition.

Design/methodology/approach

The work is being conducted based on literature review and consultation with mechanics from the aviation industry, through questionnaires. The development will be made through study cases by building a core search engine and mobile applications to support the mechanics during the maintenance activities.

Findings

The identified problem in small maintenance shops and defence organizations suggests that IETP are not entirely accessible before and during the maintenance activity. Such organizations suffer from information and communications technology (ICT) low infrastructure capability and demand access to multiple IETP databases as they usually support different aircraft. To have access to the IETP through voice assistant application will help mechanics to access the IETP, including when they would be with dirty hands and having difficulty in using mobile devices with touch displays.

Originality/value

The framework being developed will give mechanics the ability to quickly find any existing IETP to support its maintenance task at any time and in any place with low demanding for ICT infrastructure. The architecture will support different applications, and the identified priority is for IETP viewers to the most demanding functionality of specification ASD S1000D. This approach could also help in troubleshooting activities since COVID-19 brought new demands for the social distancing for mechanics.

Keywords

Acknowledgements

Funding: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES)—Finance Code 001.

Citation

Marques, H.C., Giacotto, A., Scussiatto, C.E. and Abrahão, F.T.M. (2021), "Semantic voice search in IETP: filling the gap for maintenance 4.0", Journal of Quality in Maintenance Engineering, Vol. 27 No. 3, pp. 500-516. https://doi.org/10.1108/JQME-05-2020-0038

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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