제어로봇시스템학회:학술대회논문집
- 2005.06a
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- Pages.2192-2197
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- 2005
Fault Diagnosis of Equipment of Wastewater Treatment Plants by Vibration Signal Analysis Using Time-Series Data Mining
- Choi, Dae-Won (R&D Center, NEXEN Tire Co.) ;
- Bae, Hyeon (School of Electrical and Computer Engineering, Pusan National University) ;
- Chun, Seung-Pyo (School of Electrical and Computer Engineering, Pusan National University) ;
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Kim, Sung-Shin
(School of Electrical and Computer Engineering, Pusan National University)
- Published : 2005.06.02
Abstract
This paper describes how to diagnose SBR plant equipment using time-series data mining. It shows the equipment diagnostics based upon vibration signals that are acquired from each device for process control. Data transform techniques including two data preprocessing skills and data mining methods were employed in the data analysis. The proposed method is not only suitable for SBR equipment, but is also suitable for other industrial devices. The experimental results performed on a lab-scale SBR plant show a good equipment-management performance.