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Volume 10
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10.3390/app10010224
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Article

Predictive Maintenance on the Machining Process and Machine Tool

by
Alberto Jimenez-Cortadi
1,*,
Itziar Irigoien
2,
Fernando Boto
3,
Basilio Sierra
2 and
German Rodriguez
3
1
TECNALIA, Industry and Transport Division, Leonardo da Vinci 11, 01500 Miñano, Spain
2
Department of Computer Science and Artificial Intelligence, UPV/EHU, 20018 Donostia-San-Sebastian, Spain
3
TECNALIA, Industry and Transport Division, Paseo Mikeletegi 7, 20009 San Sebastian, Spain
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(1), 224; https://doi.org/10.3390/app10010224
Submission received: 8 November 2019 / Revised: 18 December 2019 / Accepted: 19 December 2019 / Published: 27 December 2019
(This article belongs to the Special Issue New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes: Volume II)
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Abstract

This paper presents the process required to implement a data driven Predictive Maintenance (PdM) not only in the machine decision making, but also in data acquisition and processing. A short review of the different approaches and techniques in maintenance is given. The main contribution of this paper is a solution for the predictive maintenance problem in a real machining process. Several steps are needed to reach the solution, which are carefully explained. The obtained results show that the Preventive Maintenance (PM), which was carried out in a real machining process, could be changed into a PdM approach. A decision making application was developed to provide a visual analysis of the Remaining Useful Life (RUL) of the machining tool. This work is a proof of concept of the methodology presented in one process, but replicable for most of the process for serial productions of pieces.
Keywords: PdM; RUL; machining process; concept drift; real application PdM; RUL; machining process; concept drift; real application

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MDPI and ACS Style

Jimenez-Cortadi, A.; Irigoien, I.; Boto, F.; Sierra, B.; Rodriguez, G. Predictive Maintenance on the Machining Process and Machine Tool. Appl. Sci. 2020, 10, 224. https://doi.org/10.3390/app10010224

AMA Style

Jimenez-Cortadi A, Irigoien I, Boto F, Sierra B, Rodriguez G. Predictive Maintenance on the Machining Process and Machine Tool. Applied Sciences. 2020; 10(1):224. https://doi.org/10.3390/app10010224

Chicago/Turabian Style

Jimenez-Cortadi, Alberto, Itziar Irigoien, Fernando Boto, Basilio Sierra, and German Rodriguez. 2020. "Predictive Maintenance on the Machining Process and Machine Tool" Applied Sciences 10, no. 1: 224. https://doi.org/10.3390/app10010224

APA Style

Jimenez-Cortadi, A., Irigoien, I., Boto, F., Sierra, B., & Rodriguez, G. (2020). Predictive Maintenance on the Machining Process and Machine Tool. Applied Sciences, 10(1), 224. https://doi.org/10.3390/app10010224

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