Papers by Keyword: Sound Sensor

Abstract: This paper presents one percussion sound signal collection system model. The percussion sound signal collection device was designed. The sound collector was introduced in detail. Through analyzing four kinds of different percussion sound, the accuracy of this model is verified. The results showed that this collection model and percussion sounds signal processing method can be accurate and effective. The experimental results are consistent with the theoretical value. This research provides one modern applications for the percussion in a new way.

Abstract: This article describes a system device capable of displaying a car outside sounds, the system device sound signals collected by the sound sensor , combined with the single-chip analytical processing Finally, LED lights, buzzer and other electronic actuator smart car external speaker sound source direction and strength of the drivers are able to accurately determine the rear of the vehicle the location and intentions, in order to take more appropriate driving route and speed, so that the operation of the vehicle more intelligent, is conducive to maintaining the smooth flow of traffic, more effective in reducing traffic accidents, to further improve automotive safety system, greatly improves the safety performance of vehicles.

Abstract: As the intelligent machine and manufacturing system plays an important role in the near future, the monitoring system in turning process is required to improve the productivity during the cutting process. Hence, the aim of this research is to propose and develop the in-process monitoring system of the tool wear and the cutting states of chip and chatter for the carbon steel in CNC turning process by utilizing the sensor fusion which are the force sensor, the sound sensor, the accelerometer sensor and the acoustic emission sensor. Their signals have been integrated via the neural network with the back propagation and the pattern recognition technique to monitor the tool wear and detect the cutting states which are the continuous chip, the broken chip and the chatter occurred. The experimentally obtained results showed that the in-process monitoring system proposed and developed in this research can be effectively used to estimate the tool wear level and identify the chip breaking and the chatter with the higher accuracy and reliability.