Application of Adaptive Length Morphological Filtering in Gearbox Bearing Fault Recognition in Quantum Domain

With the problem of non fine processing of integrate mechanical vibration signal on solidification structure element in mathematical morphology, an algorithm of adaptive length morphological filtering in quantum domain is proposed, which is also used to identify the fault signal of gearbox bearing. According to the randomness of mechanical vibration signal, this algorithm quantizes the vibration signal in time domain, and is used to control the length selection of structural elements, realize the adaptive adjustment of structural element length, which is then used to reduce the noise of vibration signal. The experimental results show that the method can strengthen the fault signal and improve the analysis and noise reduction ability of morphological filter for non-linear and non-stationary signals as well as of noise reduction.