形态谱和LCD法提取超声波电动机陶瓷故障特征

Fault Feature Extraction of Piezoelectric Ceramics in Ultrasonic Motor Based on Morphological Spectrum and LCD Method

压电陶瓷开裂是导致超声波电动机失效的主要原因之一。针对超声波电动机定转子机械耦合过程中的噪声影响,研究利用多尺度下的形态谱信息,重构孤极电压故障信号的方法。对重构信息进行LCD分解(LocalCharacteristic-scale Decomposition)并计算能谱熵,作为故障特征反映超声波电动机压电陶瓷片的开裂程度。在不同噪声等级的仿真信号下,对故障特征在噪声环境的适用性进行了分析。实验结果验证了该方法在超声波电动机压电陶瓷开裂故障特征提取上的可行性和有效性。

Piezoelectric ceramic cracking is one of the main causes of failure of ultrasonic motors.Aiming at the influence of noise in the mechanical coupling process between the stator and rotor,a method to reconstruct fault signal based on the solitary voltage via the morphological spectrum information under multi-scale was presented.Through the local characteristic-scale decomposition (LCD) of restructured signal,entropy of energy spectrum was taken as the fault feature of piezoelectric ceramics cracking in ultrasonic motor.The anti-interference performance of the fault feature was analyzed under different simulated noise environments.The experimental results verify the feasibility and effectiveness of this method in the fault features extraction of piezoelectric ceramic cracking of ultrasonic motor.