| Summary: | 碩士 === 國立勤益科技大學 === 電子工程系 === 105 === It is known that the vibration impulses occurred from a bearing defect is non-periodic but cyclostationary due to the slippage of rollers. The vibration status is often perceived to be synonymous with quality and thus used as predictive maintenance before breakdown. As a result, the analysis of vibration has been used as a key condition tool for fault detection, diagnosis, and prognosis. This article develops on-line bearing vibration detection and analysis using enhanced fast Fourier transform algorithm. From fast Fourier transform can be induced, and it is then used to establish a mathematical model to find major frequencies of vibration signal. Also, the dispersed energy can be collected to retrieve its original gravitational acceleration.
This paper Development of Vibration Measurement Systems Based on the IOT, uses the LabVIEW as the data acquisition system, and uses the microcontroller to capture the vibration signal from the sensor on the machine and e-FFT operation. Through the RS232/RS485 communication to the LabVIEW, while the data upload to MySQL, and shows the real machine/device status by the PHP dynamic web page. From the cloud database can query the machine equipment historical data. Both measurement calibration and practical results verify that the proposed program can achieve accurate, rapid, and reliable Outcomes
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