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Interpretative identification of the faulty conditions in a cyclic manufacturing process
ID Kozjek, Dominik (Author), ID Vrabič, Rok (Author), ID Kralj, David (Author), ID Butala, Peter (Author)

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Abstract
The intensive development of information and communication technologies in recent years has led to an increase in data size and complexity. Conventional approaches, with associated methods of analysis based on descriptive and inductive statistics, may no longer be suitable for extracting the valuable information that is hidden in the available data. Computer-controlled manufacturing systems are becoming rich sources of data. Plastic injection moulding and die casting systems are typical examples of such manufacturing systems where the parts are produced by repeating the same sequence of steps that make up a manufacturing cycle. For each cycle, similarly structured data is generated. In this work a method for systematic data analysis for cyclic manufacturing processes is presented. The proposed data-analysis method integrates well-known heuristic algorithms, i.e., decision trees and clustering, with the purpose of identifying types of faulty operating conditions. The result of the analysis is an interpretable model for decision support that can be used for fault identification, to search for root causes, and to develop prognostic systems. A holistic approach of applying the proposed data-analysis method, along with suggestions and guidelines for implementation, is presented. A case study is presented in which the proposed method is applied to real industrial data from a plastic injection-moulding process.

Language:English
Keywords:production process, fault identification, root cause analysis, decision support, big data
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Year:2017
Number of pages:Str. 214-224
Numbering:Vol. 43, part 2
PID:20.500.12556/RUL-101583 This link opens in a new window
UDC:658.5(045)
ISSN on article:0278-6125
DOI:
COBISS.SI-ID:15458075 This link opens in a new window
Publication date in RUL:18.06.2018
Views:1486
Downloads:486
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Record is a part of a journal

Title:Journal of manufacturing systems
Shortened title:J. manuf. syst.
Publisher:Elsevier, Society of Manufacturing Engineers
ISSN:0278-6125
COBISS.SI-ID:574226 This link opens in a new window

Secondary language

Language:Slovenian
Keywords:proizvodni procesi, identifikacija napak, analiza izvornih vzrokov, podpora odločanju, velepodatki

Projects

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Project number:P2-0270
Name:Proizvodni sistemi, laserske tehnologije in spajanje materialov

Funder:Drugi - Drug financer ali več financerjev
Funding programme:Ministry of Higher Education, Science and Technology of the Republic of Slovenia
Project number:1000-15-0510

Funder:Drugi - Drug financer ali več financerjev
Funding programme:Ministry of Higher Education, Science and Technology of the Republic of Slovenia
Project number:C330-16-529000

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