Jimenez-Cortadi, AlbertoIrigoien, ItziarBoto, FernandoSierra, BasilioRodriguez, German2020-01-01Jimenez-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/app100102242076-3417researchoutputwizard: 11556/876Publisher Copyright: © 2019 by the authors.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.13341016enginfo:eu-repo/semantics/openAccessjournal article10.3390/app10010224PdMRULMachining processConcept driftReal applicationPdMRULMachining processConcept driftReal applicationGeneral Materials ScienceInstrumentationGeneral EngineeringProcess Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer Processeshttp://www.scopus.com/inward/record.url?scp=85078883202&partnerID=8YFLogxK