Skip to Main content Skip to Navigation
Conference papers

Evaluation of Methods to Identify Assembly Issues in Text

Abstract : 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.
Document type :
Conference papers
Complete list of metadata

Cited literature [15 references]  Display  Hide  Download

https://hal.inria.fr/hal-01377476
Contributor : Hal Ifip <>
Submitted on : Friday, October 7, 2016 - 9:50:32 AM
Last modification on : Thursday, March 5, 2020 - 4:42:01 PM
Long-term archiving on: : Sunday, January 8, 2017 - 12:44:14 PM

File

421082_1_En_45_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

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⟩

Share

Metrics

Record views

119

Files downloads

183