This paper takes a wind power operation and maintenance mothership as the research object, forecasts the cabin noise of a wind power operation and maintenance mothership, and proposes noise and vibration control measures based on statistical energy analysis. Firstly, a ship-wide acoustic analysis model was constructed based on the structural characteristics of the ship. Divide the ship model into several subsystems, build subsystems and connections between subsystems in turn, and set material parameters and sound absorption coefficients. Secondly, the various noise sources were estimated based on empirical equations from the relevant literature. The noise of significant cabins (engine room, propulsion cabin, conference room, lounge area, A deck cabin, B deck cabin, C deck cabin and captain’s cabin) for navigational and wind farm conditions are forecast and exceedances of noise levels in target cabin rooms are determined in accordance with resolution MSC.337(91). The thruster condition slightly exceeded the noise limit in the conference room on the main deck with a noise value of 62.3dB(A), while the noise in the remaining target compartments was within the limit. At the same time, the spectrum of the target chamber shows that the sound pressure level increases and then decreases with increasing frequency, and the peak sound pressure level is mainly concentrated in the middle frequency range of 1000Hz. Finally, through the analysis of the noise transmission path, it can be seen that the ship's sound source spreads upwards through the same layer to affect the conference room, and the noise mainly spreads to the conference room from the bottom and the right side, resulting in the conference room noise exceeding the standard. Further noise reduction is achieved by applying sound absorbing materials to the target cabin room. After the laying of sound absorbing material consisting of glass wool and rubber, the noise value was reduced from the original 62.3dB(A) to 53dB(A) and the noise value was reduced to below the limit value.