Analysis of Breakdown Reports Using Natural Language Processing and Machine Learning

Ahmed, Mobyen Uddin,Dr,1976-Mälardalens universitet,Inbyggda system (författare)

Proactive maintenance management of world-class standard is close to impossible without the support of a computerized management system. In order to reduce failures, and failure recurrence, the key information to log are failure causes. However, Computerized Maintenance Management System (CMMS) seems to be scarcely used for analysis for improvement initiatives. One part of this is due to the fact that many CMMS utilizes free-text fields which may be difficult to analyze statistically. The aim of this study is to apply Natural Language Processing (NPL), Ontology and Machine Learning (ML) as a means to analyze free-textual information from a CMMS. Through the initial steps of the study, it was concluded though that none of these methods were able to find any suitable hidden patterns with high-performance accuracy that could be related to recurring failures and their root causes. The main reason behind that was that the free-textual information was too unstructured, in terms of for instance: spelling- and grammar mistakes and use of slang. That is the quality of the data are not suitable for the analysis. However, several improvement potentials in reporting and to develop the CMMS further could be provided to the company so that they in the future more easily will be able to analyze its maintenance data.

Bengtsson, Marcus,1977-Mälardalens universitet,Innovation och produktrealisering,Volvo Construction Equipment, Västerås, Sweden(Swepub:mdh)mbn08 (författare)
Salonen, AnttiMälardalens universitet,Innovation och produktrealisering(Swepub:mdh)asn08 (författare)
Funk, Peter,1957-Mälardalens universitet,Inbyggda system(Swepub:mdh)pfk01 (författare)
Mälardalens universitetInbyggda system (creator_code:org_t)

Ingår i:Lecture Notes in Mechanical EngineeringCham : Springer Science and Business Media Deutschland GmbH, s. 40-529783030936389

Av författaren/redakt...: Ahmed, Mobyen Ud ...; Bengtsson, Marcu ...; Salonen, Antti; Funk, Peter, 195 ...

Om ämnet

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.