| Obstacles and influential measures for predictive maintenance and repair based on industrial architectures. |
| Paper ID : 1073-NICAME1402 |
| Authors: |
|
Arash Abbasi *1, عباس روحانی2, محمدرضا پوررمضان3 1Ferdowsi Univercity of Mashhad 2Ferdowsi university of Mashhad 3Ferdowsi University of Mashhad |
| Abstract: |
| Maintenance can be defined as a combination of all technical, administrative and managerial actions during the life cycle of an item intended to retain it in, or restore it to, a state in which it can perform the required function. Predictive maintenance (PdM) aims the reduction of costs to increase the competitive strength of the enterprises. This paper focuses on the main challenges that hinder the development of a generalized data-driven system for PdM, namely: the existence of noisy or erroneous sensor data in a real industrial environment; the necessity to collect, transmit and process high volumes of data in a timely manner in real-time and in different industrial scenarios.Trouble-shooting methods,which address the models to forecast the condition of industrial equipment. Moreover, The architectures, which allows the deployment of the anomaly detection and trouble-shooting methods in short period of time in dissimilar industrial scenarios. The last trends for Pdm are discussed specifically over the paper. |
| Keywords: |
| Maintenance, Maintenance Predictive, Shooting-Trouble |
| Status : Paper Accepted (Poster Presentation) |
