Evaluation of Methods to Identify Assembly Issues in Text - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Evaluation of Methods to Identify Assembly Issues in Text

Résumé

The work reported in the paper is primarily aimed towards building a knowledge base for diagnosis of aircraft assembly process plans. The first step is to identify the presence of an issue in the text. Various existing methods that deal with issues in engineering are studied and their suitability presented. A study of sample documents across domains, including that of assembly, is then presented. Some key observations from the study are discussed, following which two main methods are explored for their suitability for detecting issues from documents. The first method is based on functional analysis of designs, which deems that an issue is the result of the violation of a function or a related parameter. The second is a Natural Language Processing technique called Sentiment Analysis that aggregates sentiments from individual words. The relative suitability of these methods is then discussed.
Fichier principal
Vignette du fichier
421082_1_En_45_Chapter.pdf (195.91 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01377476 , version 1 (07-10-2016)

Licence

Paternité

Identifiants

Citer

N. Madhusudanan, B. Gurumoorthy, Amaresh Chakrabarti. Evaluation of Methods to Identify Assembly Issues in Text. 12th IFIP International Conference on Product Lifecycle Management (PLM), Oct 2015, Doha, Qatar. pp.495-504, ⟨10.1007/978-3-319-33111-9_45⟩. ⟨hal-01377476⟩
49 Consultations
88 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More