Data Mining: A Potential Detector to Find Failure in Complex Components

E. Scheideler, A. Ahlemeyer-Stubbe, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2015, pp. 163–174.

Konferenz - Beitrag | Veröffentlicht | Englisch
Autorin / Autor
;
Herausgeber*in
;
Körperschaftlicher Herausgeber
Department of Production Engineering and Management; Hochschule Ostwestfalen-Lippe
Abstract / Bemerkung
This paper is aimed to discuss current research using data mining techniques and industry statistics in production environments. The general research approach is based on the idea of using data mining processes and techniques of industry statistics to find rare and hidden patterns behind failures of complex components. A case study will be applied to illustrate how the technique is carried out and where the limits of this approach occur. The case study deals with a component supplier of printing machines, which received an increasing number of client complaints, all related to one distinct problem. The observed failures seem to occur only among clients with very high quality standards. The affected component undergoes a very complex production process with several steps in different departments. Every single production unit records data information from multiple process variables and at different points in time. In the beginning there was no understanding of the failure causes in production at all. Therefore a huge amount of production data had to be analyzed to find the pattern that discloses the failure. The data mining process starts with a first step in which the given data sets are prepared and then cleaned. Followed up by building a prediction model. The aim is to detect the root causes for failures and to predict potential failures in affected components. This paper shows how to use data mining to get the answer on pressing production failures.
Erscheinungsjahr
Titel des Konferenzbandes
Production Engineering and Management
Zeitschriftennummer
1
Seite
163-174
Konferenz
Proceedings5th International Conference
Konferenzort
Trieste, Italy
Konferenzdatum
2015-10-01 – 2015-10-02
ELSA-ID

Zitieren

Scheideler E, Ahlemeyer-Stubbe A. Data Mining: A Potential Detector to Find Failure in Complex Components. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. Production Engineering and Management. Lemgo; 2015:163-174.
Scheideler, E., & Ahlemeyer-Stubbe, A. (2015). Data Mining: A Potential Detector to Find Failure in Complex Components. In E. Padoano, F.-J. Villmer, & Department of Production Engineering and Management (Eds.), Production Engineering and Management (pp. 163–174). Lemgo.
Scheideler E and Ahlemeyer-Stubbe A (2015) Data Mining: A Potential Detector to Find Failure in Complex Components. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineering and Management. Lemgo, pp. 163–174.
Scheideler, Eva, and A. Ahlemeyer-Stubbe. “Data Mining: A Potential Detector to Find Failure in Complex Components.” In Production Engineering and Management, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 163–74. Lemgo, 2015.
Scheideler, Eva und A. Ahlemeyer-Stubbe. 2015. Data Mining: A Potential Detector to Find Failure in Complex Components. In: Production Engineering and Management, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 163–174. Lemgo.
Scheideler, Eva ; Ahlemeyer-Stubbe, A.: Data Mining: A Potential Detector to Find Failure in Complex Components. In: Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management (Hrsg.): Production Engineering and Management. Lemgo, 2015, S. 163–174
E. Scheideler, A. Ahlemeyer-Stubbe, Data Mining: A Potential Detector to Find Failure in Complex Components, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2015: pp. 163–174.
E. Scheideler and A. Ahlemeyer-Stubbe, “Data Mining: A Potential Detector to Find Failure in Complex Components,” in Production Engineering and Management, Trieste, Italy, 2015, no. 1, pp. 163–174.
Scheideler, Eva, and A. Ahlemeyer-Stubbe. “Data Mining: A Potential Detector to Find Failure in Complex Components.” Production Engineering and Management, edited by Elio Padoano et al., no. 1, 2015, pp. 163–74.
Scheideler, Eva/Ahlemeyer-Stubbe, A. (2015): Data Mining: A Potential Detector to Find Failure in Complex Components, in: Elio Padoano et. al. (Hgg.): Production Engineering and Management, Lemgo, S. 163–174.
Scheideler E, Ahlemeyer-Stubbe A. Data Mining: A Potential Detector to Find Failure in Complex Components. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2015. p. 163–74.

Link(s) zu Volltext(en)
Access Level
Restricted Closed Access
Externes Material:
Publikation, die diesen ELSA Eintrag enthält

Export

Markierte Publikationen

Open Data ELSA

Suchen in

Google Scholar
ISBN Suche