Ultrasonic Signal Acquisition and Processing platform based on Zynq SoC

2016 ◽  
Author(s):  
Boyang Wang ◽  
Jafar Saniie
Keyword(s):  
Ultrasonic Signal ◽  
Signal Acquisition ◽  
Signal Acquisition And Processing ◽  
Processing Platform

Review of Ultrasonic Signal Acquisition and Processing Techniques for Mechatronics and Material Engineering

2016 ◽  
Vol 251 ◽  
pp. 68-74 ◽  
Author(s):  
Linas Svilainis
Keyword(s):  
Signal Propagation ◽  
Ultrasonic Signal ◽  
Material Structure ◽  
Signal Acquisition ◽  
Profile Measurement ◽  
Structural Noise ◽  
Material Engineering ◽  
Reduction Techniques ◽  
Processing Techniques ◽  
Signal Acquisition And Processing

Review of ultrasound applications in mechanical and material engineering is presented. Application examples in material thickness, profile measurement are given. Applications for load, stress, stiffness, porosity, density, viscosity, bond strength, hardening depth evaluation are discussed. Composite or polymer curing states can be monitored. Ultrasonic signal propagation velocity, attenuation or nonlinearity can be used for aforementioned parameters extraction. Signal acquisition setup configurations along with signal processing techniques are discussed. Ultrasound can be used for structure integrity testing or monitoring. Imaging of the inner material structure or properties distribution requires special reconstruction techniques. Presence of the structural noise is masking the defects. Image reconstruction and structural noise reduction techniques are outlined.

scholarly journals Using a Planar Array of MEMS Microphones to Obtain Acoustic Images of a Fan Matrix

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Lara del Val ◽  
Alberto Izquierdo ◽  
Juan José Villacorta ◽  
Luis Suárez
Keyword(s):  
Microelectromechanical Systems ◽  
Processing System ◽  
Signal Acquisition ◽  
Acoustic Images ◽  
Mems Microphone ◽  
The Matrix ◽  
Planar Array ◽  
Mems Microphones ◽  
The Individual ◽  
Signal Acquisition And Processing

This paper proposes the use of a signal acquisition and processing system based on an8×8planar array of MEMS (Microelectromechanical Systems) microphones to obtain acoustic images of a fan matrix. A3×3matrix of PC fans has been implemented to perform the study. Some tests to obtain the acoustic images of the individual fans and of the whole matrix have been defined and have been carried out inside an anechoic chamber. The nonstationary signals received by each MEMS microphone and their corresponding spectra have been analyzed, as well as the corresponding acoustic images. The analysis of the acoustic signals spectra reveals the resonance frequency of the individual fans. The obtained results reveal the feasibility of the proposed system to obtained acoustic images of a fan matrix and of its individual fans, in this last case, in order to estimate the real position of the fan inside the matrix.

Design of a Double CPU and Distributed Coal Mine Fault Oscillograph

2013 ◽  
Vol 868 ◽  
pp. 306-309
Author(s):  
Wen Yan Nie ◽  
Zhong En Wang
Keyword(s):  
Data Storage ◽  
Coal Mine ◽  
High Performance ◽  
Stable Operation ◽  
Signal Acquisition ◽  
Test Results ◽  
Communication Capacity ◽  
Communication Function ◽  
Data Acquisition Unit ◽  
Signal Acquisition And Processing

Traditional microcomputer fault oscillograph cannot meet the requirements of coal mine substation to digital and networked. A double CPU and distributed coal mine fault oscillograph is presented, the device data acquisition unit of new fault oscillograph use high performance DSP chip TMS320LF2812 to complete signal acquisition and processing, and S3C2410 chip is used in data management unit to complete the data storage, display and communication function. Test results show that the new fault oscillograph could separately installed in each substation and has stable operation and high communication capacity advantages.

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