Evaluation of Noise Characteristics for a Cooling System Using Neural Network

摘要

This study proposes a procedure the evaluation of the noise quality for a cooling system, which frequently works during a day. For the experimental analysis an Intelligent Data Acquisition and a microphone are used to measure the system noise from the different points. Simulation analysis of noise parameters using Neural Network (NN) is also implemented. Different types of NN are used to investigate the noise quality of the system. The results show that Radial Basis Neural Network (RBNN) gives superior performance for predicting the noise characteristics of cooling system.