Embedded Systems for Real-time Predictive Diagnostic

نویسندگان

  • ZDENEK MACHACEK
  • ZDENEK SLANINA
  • VILEM SROVNAL
چکیده

The article discusses using embedded systems for diagnostic and maintenance planning. There is described design and using of two embedded systems with different digital signal processors, their advantages and disadvantages. There are described applications of embedded systems for diagnostic and maintenance planning for machines, drives and ventilators. There is practice demonstration of the signal filtration and Fast Fourier transformation FFT in the real-time. These tasks are very important for diagnostic and maintenance planning in industry and engineering. Key-Words: embedded system, diagnostic, real-time systems, signal processing, vibration, microcontroller

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تاریخ انتشار 2003