Abstract
The modern metallurgical equipment with functional diversification, structural complexity and high degree of automation features, once the critical equipment failure, would cause enormous economic losses. Wire rod mill metallurgical equipment in one of the key production equipment, on the bar and wire rod mill for online monitoring and fault diagnosis is essential. In this paper, bar and wire rod mill monitoring and diagnosis technology research and application, through information, network monitoring systems, on-line process analysis and management, temperature monitoring of the implementation of key equipment, key points on the equipment condition monitoring, so as to achieve equipment fault diagnosis and predictive maintenance purposes. Reduce the maximum equipment operation and maintenance costs, improve production efficiency to achieve cost-effective new growth.
| Original language | English |
|---|---|
| Title of host publication | COMADEM 2010 - Advances in Maintenance and Condition Diagnosis Technologies Towards Sustainable Society, Proc. 23rd Int. Congr. Condition Monitoring and Diagnostic Engineering Management |
| Pages | 243-245 |
| Number of pages | 3 |
| State | Published - 2010 |
| Externally published | Yes |
| Event | 23rd International Congress on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2010 - Nara, Japan Duration: 28 Jun 2010 → 2 Jul 2010 |
Publication series
| Name | COMADEM 2010 - Advances in Maintenance and Condition Diagnosis Technologies Towards Sustainable Society, Proc. 23rd Int. Congr. Condition Monitoring and Diagnostic Engineering Management |
|---|
Conference
| Conference | 23rd International Congress on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2010 |
|---|---|
| Country/Territory | Japan |
| City | Nara |
| Period | 28/06/10 → 2/07/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Bar and wire rolling mill
- Equipment management
- Experimental parameter
- Fault diagnosis
- Information
- Vibration signal
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