Proc. SPIE. 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application
KEYWORDS: Human-machine interfaces, Moire patterns, Fringe analysis, Digital signal processing, Error analysis, Computer programming, Signal processing, Signal analyzers, Signal detection, Diffraction gratings
Aiming at the problem of any fault and wrong code in the practical application of photoelectric shaft encoder, a fast and accurate encoder fault analysis system is researched from the aspect of Moire fringe photoelectric signal processing. DSP28335 is selected as the core processor and high speed serial A/D converter acquisition card is used. And temperature measuring circuit using AD7420 is designed. Discrete data of Moire fringe error signal is collected at different temperatures and it is sent to the host computer through wireless transmission. The error signal quality index and fault type is displayed on the host computer based on the error signal identification method. The error signal quality can be used to diagnosis the state of error code through the human-machine interface.