Full text
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (369kB) | Preview |
Data Analysis for the Preventive Maintenance of Machinery
Citation
Piqueras, Ricardo and Fernández-Crehuet, José María (2020). Data Analysis for the Preventive Maintenance of Machinery. "Studies in Engineering and Technology", v. 7 (n. 1); pp. 1-8. ISSN 2330-2046. https://doi.org/10.11114/set.v7i1.2814.
Description
| Title: | Data Analysis for the Preventive Maintenance of Machinery |
|---|---|
| Author/s: |
|
| Item Type: | Article |
| Título de Revista/Publicación: | Studies in Engineering and Technology |
| Date: | August 2020 |
| ISSN: | 2330-2046 |
| Volume: | 7 |
| Subjects: | |
| Freetext Keywords: | simulation; data; linear regression; statistical analysis; maintenance |
| Faculty: | E.T.S.I. Industriales (UPM) |
| Department: | Ingeniería de Organización, Administración de Empresas y Estadística |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
This article shows the importance of data for the resolution of current problems, through a case study of preventive maintenance of a company’s machines. From a given inspection of the condition of the machines, enough data is obtained to simulate the operation of the machines under specific conditions using Python programming environment, for a long enough period of time to obtain reliable information about the machines’ lifetime. By using “R”, the statistical analysis of the data is performed to determine the optimal period between repairs, schedule the company’s preventive maintenance and show the possibility of solving complex problems from a simple data set.
More information
| Item ID: | 57905 |
|---|---|
| DC Identifier: | https://oa.upm.es/57905/ |
| OAI Identifier: | oai:oa.upm.es:57905 |
| DOI: | 10.11114/set.v7i1.2814 |
| Official URL: | http://redfame.com/journal/index.php/set/article/view/2814/4733 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 24 Feb 2020 15:43 |
| Last Modified: | 25 Feb 2020 15:27 |
