Predictive Maintenance on the Machining Process and Machine Tool
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Manufacturing Process and Optimization · Industrial Vision Systems and Defect Detection · Advanced machining processes and optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
TECNALIA, Industry and Transport Division, Leonardo da Vinci 11, 01500 Miñano, Spain
Department of Computer Science and Artificial Intelligence, UPV/EHU, 20018 Donostia-San-Sebastian, Spain
TECNALIA, Industry and Transport Division, Paseo Mikeletegi 7, 20009 San Sebastian, Spain
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