Research on Rolling Bearing Fault Diagnosis with Adaptive Frequency Selection based on LabVIEW

In order to study the on-line fault monitoring and diagnosing for the rolling bearing this paper proposes a resonant demodulation measurement with an adaptive frequency selection based on LabVIEW. The wavelet packet function is used to decompose and reconstruct the measured vibration signal to extract the fault information accurately under the noise background. The kurtosis value of the signal within the range of all frequency bands is calculated and compared automatically to select a resonance frequency band containing the fault frequency. The fault frequency can be extracted by using the resonance demodulation and then the fault element can be identified. The experimental results show that the fault diagnosis result is the same as the fault simulation of the rolling bearing inner ring on the test bench.