Abstract
To improve the adaptability of traditional monitoring and alarming methods and fuse multiple monitoring parameters, a comprehensive alarm method for condition monitoring based on Parzen window estimation was proposed. The joint probability density function of multiple monitoring parameters was estimated to describe the distribution of monitoring data. The alarm boundary was set with Parzen window function of monitoring data located in the marginal distribution area. Along with accumulation of monitoring data, the alarm boundary was continuously adjusted to accommodate new operation performance. The proposed method was evaluated with monitoring data measured on rotor test rig and heating furnace fan. Results showed that faults under different running conditions are well identified.
| Original language | English |
|---|---|
| Pages (from-to) | 110-114 |
| Number of pages | 5 |
| Journal | Zhendong yu Chongji/Journal of Vibration and Shock |
| Volume | 32 |
| Issue number | 3 |
| State | Published - 15 Feb 2013 |
Keywords
- Comprehensive alarm
- Condition monitoring
- Parzen window estimation
- Probability distribution
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