Transfer Learning for Tonal Noise Prediction in VRF Units Using Thermodynamic and Vibration Signals
The second-order harmonic (2f) component generated by twin-rotary compressor is a dominant low-frequency noise source of variable refrigerant flow (VRF) outdoor units, yet its amplitude fluctuates strongly with environmental thermal load and valve opening, making it difficult to assess accurately using conventional mechanism-based models. This paper proposes an unsupervised transfer learning method based on Domain-invariant Partial Least Squares (Di-PLS) to accurately predict 2f noise levels under new conditions using different signals. Prediction models utilizing thermodynamic signals and acceleration signals are constructed respectively, and the generalization performance of the propose...
| Authors | ZhiWei Su, Ding Wang, Yuan Guo et al. |
|---|---|
| Primary category | eess.SP |
| Published | 28 April 2026 |
| Last updated at source | 28 April 2026 |
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