Publications by authors named "Xiaying Hao"
Article Synopsis
- Cruise ships prioritize passenger comfort, with vibration and noise levels being crucial indicators of this comfort, significantly affecting customer satisfaction and profitability.
- Current analysis methods for vibration and noise have limitations in revealing critical differences across various areas of the ship.
- This study implements a machine learning approach to analyze vibration and noise data from China’s first large-scale cruise ship, identifying key noise frequencies and developing a classifier using random forest, which enhances understanding and management of ship comfort.
