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XML Adapting Semi-Empirical Ship Vibration Analysis: A Hybrid ML Approach to Generalized Vibration Prediction
P. 1-10
Kimia Nazarizadeh , Hashem Nowruzi *
Abstract (50 Views) | Full-Text (PDF) (15 Downloads)   |   Graphical Abstract   |   Highlights

Highlights
  1. Hybrid ML model (RF + LR) predicts ship vibrations with high accuracy.
  2. Achieves R²=0.9938 & near-zero MSE for key parameter α on 373 ships.
  3. Validated on 34 ship types; <3% error in natural frequency prediction.
  4. Length, displacement, block coefficient are top predictors (>60% importance).
  5. Enables cost-effective design optimization & predictive maintenance for safety.

 
| Audio file of the article abstract [MP3]  (1 Download)

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International Journal of Maritime Technology is licensed under a

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