Predictive Maintenance on the Machining Process and Machine Tool
Loading...
Identifiers
Publication date
2020-01-01
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
Citations
Export
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.
Description
Publisher Copyright: © 2019 by the authors.
Keywords
PdM , RUL , Machining process , Concept drift , Real application , PdM , RUL , Machining process , Concept drift , Real application , General Materials Science , Instrumentation , General Engineering , Process Chemistry and Technology , Computer Science Applications , Fluid Flow and Transfer Processes
Type
Citation
Jimenez-Cortadi , A , Irigoien , I , Boto , F , Sierra , B & Rodriguez , G 2020 , ' Predictive Maintenance on the Machining Process and Machine Tool ' , Applied Sciences (Switzerland) , vol. 10 , no. 1 , 224 , pp. 224 . https://doi.org/10.3390/app10010224