Diagnosis of machine tools : assessment based on double ball-bar measurements from a population of similar machines
| Autor: | Lihui Wang, Bernard Schmidt, Kanika Gandhi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Tillförlitlighets- och kvalitetsteknik
0209 industrial biotechnology education.field_of_study Engineering drawing business.product_category Computer science condition monitoring Population 02 engineering and technology Predictive maintenance Machine tool Processing methods 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering automatic signal selection Ball (bearing) General Earth and Planetary Sciences population based maintenance business education Reliability and Maintenance General Environmental Science |
| Popis: | The presented work is toward population-based predictive maintenance of manufacturing equipment with consideration of the automaticselection of signals and processing methods. This paper describes an analysis performed on double ball-bar measurement from a population ofsimilar machine tools. The analysis is performed after aggregation of information from Computerised Maintenance Management System,Supervisory Control and Data Acquisition, NC-code and Condition Monitoring from a time span of 4 years. Economic evaluation is performedwith use of Monte Carlo simulation based on data from real manufacturing setup. CC BY-NC-ND 4.0Edited by Lihui WangThe authors gratefully acknowledge the financial support of Knowledge Foundation (KK-Environment INFINIT), the University of Skövde, Volvo GTO and Volvo Cars through the IPSI Industrial Research School at University of Skövde. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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