Abstract
This paper presents a novel instrumentation system for on-line nonintrusive detection of wood pellets in pneumatic conveying pipelines using vibration and acoustic sensors. The system captures the vibration and sound generated by the collisions between biomass particles and the pipe wall. Time-frequency analysis technique is used to eliminate environmental noise from the signal, extract information about the collisions, and identify the presence of wood pellets. Experiments were carried out on an industrial pneumatic conveying pipeline to assess effectiveness and operability. The impacts of various factors on the performance of the detection system are compared and discussed, including different sensing (vibration sensor versus acoustic sensor), different time-frequency analysis methods (wavelet-based denoising versus classic filtering), and different system installation locations.
| Original language | English |
|---|---|
| Article number | 6679243 |
| Pages (from-to) | 993-1001 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Instrumentation and Measurement |
| Volume | 63 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2014 |
| Externally published | Yes |
Keywords
- Acoustic sensor
- large biomass particle detection
- pneumatic conveying
- solids handling
- time-frequency analysis
- vibration sensor
- wavelet-based denoising
- wood pellets
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