Study of Motorized Spindle Reliability Monitoring
| Autor: | Chung-Yu Pan, Jenq-Shyong Chen, Chiang Hsun-Fu, He Yi-Lin, Paul Chang |
|---|---|
| Přispěvatelé: | Pinker, Jiří |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
business.product_category Computer science media_common.quotation_subject industries 4.0 Control engineering 02 engineering and technology Mechatronics 021001 nanoscience & nanotechnology Predictive maintenance Machine tool reliabilita strojírenství 020901 industrial engineering & automation intelligent monitoring Filter (video) inteligentní monitorování reliability engineering Quality (business) 0210 nano-technology Raw data business průmyslová odvětví 4.0 Reliability (statistics) Charge amplifier media_common |
| Zdroj: | 2018 International Conference on Applied Electronics (AE). |
| DOI: | 10.23919/ae.2018.8501459 |
| Popis: | This paper proposes an intelligent monitoring system to adapt motorized high speed spindle on machine tools to meet the requirement of Industries 4.0, based on the techniques of power electronic engineering, mechatronics and reliability engineering. In this paper, a force-sensor-integrated spindle is proposed to monitor the bearing stress during operation. The implementation of charge amplifier and mechanical design are described as well. As a result, raw data is transmitted through a filter to create fruitful information and allow the remote monitoring system to operate effectively. The information supports predictive maintenance plans and improves the quality of after-sales service. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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