CAJ | 학술논문

针对双边型直线电机的气隙偏心故障、绕组匝间短路故障，提出了一种基于双边型直线电机的故障信息融合诊断方法，该法通过数据层融合、特征层融合、决策层融合以及两级诊断的方式来实现，其中数据层采用了Park矢量融合方法以及改进的基8FFT算法，特征层采用了模糊人工神经网络法。将改进的基8FFT算法、模糊人工神经网络法结合在一起，提高了双边型直线电机各种故障的诊断能力。
침대쌍변형직선전궤적기극편심고장、요조잡간단로고장，제출료일충기우쌍변형직선전궤적고장신식융합진단방법，해법통과수거층융합、특정층융합、결책층융합이급량급진단적방식래실현，기중수거층채용료Park시량융합방법이급개진적기8FFT산법，특정층채용료모호인공신경망락법。장개진적기8FFT산법、모호인공신경망락법결합재일기，제고료쌍변형직선전궤각충고장적진단능력。
Aiming at air gap eccentricity fault and winding turn-to-turn short circuit of bilateral linear motor, this paper proposed a kind of fusion diagnosis method of fault information based on bilateral linear motor. This method consisted of the data level fusion, feature level fu-sion, decision level fusion and the mode of two level diagnosis, of which the data layer adopted the Park vector fusion method and improved 8FFT algorithm, and the feature level adopted the fuzzy artiifcial neural network. The improved 8FFT algorithm was combined with the fuzzy artiifcial neural network to raise the diagnosis ability of various kinds of faults of bilateral linear motor.