Bearing fault detection of gear-box drive train using active filters
作者： K. G. Robbersmyr , H. V. Khang , J. S. L Senanayaka , R. Puche-Panadero
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摘要: Failures on a rolling bearing in the gearbox drive system can be detected via vibration sensors or accelerometers. Measured signals include rotating harmonics, noises, associated with fault. Characteristic frequencies of faulty are very close to higher harmonics rotor frequency. This causes big challenge know if is healthy condition by using spectral analysis. An effective extraction fault-related from measured useful analyze characteristic frequencies. It found that active filters fast extract time-domain. The diagnostic analysis quickly implemented extracted Fast Fourier Transform frequency domain energy calculation time domain.
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