Shipping Radiated Noise Estimation Using AI.

This research note highlights commercial ships are the major source of underwater radiated noise, which is generated because of interaction between hull, water and propeller cavitation that lies in the low-frequency range. It states that various models such as D-Ross, RANDI, Wales-Heitmeyer, SONIC, and Wittekind are being used to estimate shipping radiated noises. However, except for the Wittekind model, all other models are limited in the frequency range. But the Wittekind model also has some drawbacks which guides us to implement Artificial Intelligence (AI) to take only the easily obtainable parameters and give the output of Wittekind thereby reducing the time complexity and hence making it deployable.

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1. There are various sources of noises and vibrations in ships, some of which are:

• The prime movers – typically diesel engines

• Shaft-line dynamics

• Propeller radiated pressures and bearing forces

• Air conditioning systems

• Maneuvering devices such as transverse propulsion units

• Cargo handling and mooring machinery

• Vortex shedding mechanisms

• Intakes and exhausts

• Slamming phenomena

2. There are broadly two categories under which models to estimate the shipping noises fall.

• First are computations which are based on numerical analysis

• Second is empirical which is based on a statistical analysis of noise data

3. All computational models are highly accurate compared to empirical models but they have a major drawback, which is, they require a lot of computational power and take time to give results.

4. Artificial intelligence is starting to rise in the shipping industry and a lot of recent research is being done to incorporate AI into various domains of maritime.