The use of data acquisition cards with FPGAs has permitted to develop a real time pattern recognition algorithm for disruption predictions for JET. Using 13 waveforms from JET database an algorithm for detecting incoming plasma disruptions has been implemented. The algorithm was originally developed in MATLAB using floating point representation. In this work we show a methodology based in Virtual Instrumentation technologies to implement the real time version of the algorithm using Intelligent Data Acquisition Cards (IDAQ), data acquisition (DAQ) devices with field programmable gate array (FPGA) for local processing. The whole system for evaluating the real time disruption detection (RTDD) has been implemented using the Intelligent Test and Measurement System (ITMS) platform. ITMS offers distributed data acquisition, distribution and real time processing capabilities with advanced, but easy to use, software tools that simplify application development and system setup. The RTDD hardware implementation uses a standard PXI/PXIe architecture consisting of: two 8 channel analog output cards to play the desired signals from JET database; two 8 channel DAQ cards with FPGA for feature extraction; and a system CPU running a real time operating system for classification and decision making in order to estimate an incoming disruption. © 2006 IEEE.
All Science Journal Classification (ASJC) codes
- Nuclear and High Energy Physics
- Nuclear Energy and Engineering
- Electrical and Electronic Engineering
Ruiz, M., Vega, J., Arcas, G., Ratta, G., Barrera, E., Murari, A., López, J. M., & Meléndez, R. (2011). Real time plasma disruptions detection in JET implemented with the ITMS platform using FPGA based IDAQ. IEEE Transactions on Nuclear Science, 58(4 PART 1), 1576 - 1581. . https://doi.org/10.1109/TNS.2011.2158552