Today, the demand for continuous monitoring of valuable or safety critical equipment is\nincreasing in many industrial applications due to safety and economical requirements. Therefore,\nreliable in-situ measurement techniques are required for instance in Structural Health Monitoring\n(SHM) as well as process monitoring and control. Here, current challenges are related to the processing\nof sensor data with a high data rate and low latency. In particular, measurement and analyses of\nAcoustic Emission (AE) are widely used for passive, in-situ inspection. Advantages of AE are\nrelated to its sensitivity to different micro-mechanical mechanisms on the material level. However,\nonline processing of AE waveforms is computationally demanding. The related equipment is typically\nbulky, expensive, and not well suited for permanent installation. The contribution of this paper is\nthe development of a Field Programmable Gate Array (FPGA)-based measurement system using\nZedBoard devlopment kit with Zynq-7000 system on chip for embedded implementation of suitable\nonline processing algorithms. This platform comprises a dual-core Advanced Reduced Instruction\nSet Computer Machine (ARM) architecture running a Linux operating system and FPGA fabric.\nA FPGA-based hardware implementation of the discrete wavelet transform is realized to accelerate\nprocessing the AE measurements. Key features of the system are low cost, small form factor, and low\nenergy consumption, which makes it suitable to serve as field-deployed measurement and control\ndevice. For verification of the functionality, a novel automatically realized adjustment of the working\ndistance during pulsed laser ablation in liquids is established as an example. A sample rate of 5 MHz\nis achieved at 16 bit resolution.
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