BEARING FAULT DIAGNOSIS FOR DIESEL ENGINE GENERATOR USING LABVIEW

摘要

Bearing failure diagnosis for a diesel-driven generator is positioned to allow for the convenience of diagnosis, has the integrated value of the FFT frequency spectrums of the vibration signal of a normal integrated value by comparing. One bearing fault fault diagnosis system includes that fast sensor (2) is accelerated to invest X, Y and Z axis to the acquisition for obtaining vibration signal on a shell (1); A DAQ plates (3) for collecting signal. Collected signal is interpreted by the algorithm that LabVIEW programmes. Vibration signal is filtered by a low-pass filter (4), the FFT of conversion. The spectral data of FFT conversions is used to calculate a graph area for calculating integrated value by a function (7). Integrated value is indicated on an integrated value index and compared with a threshold value. If threshold value is less than measured value, a normality display lamp is turned on. If threshold value is greater than measured value, an abnormal show lamp (10) is turned on.