Research on Adaptive Collection of Mechanical Vibration Signals for Small Flow Fans in HVAC Systems
When the small flow fan of HVAC operates,the frequent generation of pulse noise increases the complexity of signal acquisition and introduces interference,resulting in a large amount of unnecessary noise components in the collected vibration signal,reducing the accuracy and accuracy of acquisition.Therefore,an adaptive collection method for mechanical vibration signals of small flow fans in HVAC is proposed.Use empirical mode decomposition method to process vibration signals and obtain feature information of the signals in both time and frequency domains.Based on the frequency characteristics of the vibration signal,an adaptive variable sampling algorithm is used to dynamically adjust the sampling rate at different time periods and collect the fan vibration signal.Use mathematical morphological filters to adjust the shape of the signal,remove pulse interference,improve the accuracy of signal acquisition,and fur-ther optimize the quality of the signal.The experimental results show that the proposed method has high adaptive acquisition accuracy and short acquisition time for vibration signals.
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维普
