Influence of Environmental Noise on Quality Control of HVAC Devices Based on Convolutional Neural Network

Testing the quality of manufactured products based on their sound expression is becoming popular nowadays. To maintain low production costs, testing processed at end assembly line. Such measurements are affected considerably by factory noise even though they performed in anechoic chambers. Before designing control algorithm a convolutional neural network, we do not know influence success rate that can potentially be obtained. Therefore, this contribution addresses problem. The experiments were undertaken synthetic dataset heat, ventilation, and air-conditioning devices. results show classification accuracy decision-making declines more rapidly high level environmental noise.