This study realized Monitoring System which is able to evaluate the amount of low-output of mechanical device using ART2 Neural Networks. During this study, Experimental Equipment shaped like main shaft of machine tools is invented. Then, vibration an...
This study realized Monitoring System which is able to evaluate the amount of low-output of mechanical device using ART2 Neural Networks. During this study, Experimental Equipment shaped like main shaft of machine tools is invented. Then, vibration and noise data which is measured by Labview, acceleration sensors and thermal sensors were output. To observe mechanical low-output, the output vibration signal was changed to FFT form, transferred to remote PC by web-server which is installed in server PC and applied for ART2 Monitoring System. A proper steady state signal was put into the system. After it became a habit, the low-output alteration was observed by long-term ART2 monitoring. Finally, After an incorrect signal was put, when it turned into habitation, whether the output signal was similar to original low-output signal was observed.