多源融合技术在转子系统载荷类型识别中的应用

Application of Multi-source Fusion Technology in Load Types Recognition of Rotor System

针对单一类型响应信号在载荷识别中的局限性,提出振动信号和电机电流信号相结合的多源融合技术,进行载荷类型识别。结果表明:在稳态、线性、正弦、冲击4种类型载荷下,2种信号经过奇异值分解和小波包分解处理后,基于朴素贝叶斯的多源融合技术能够很好地实现载荷类型的识别。

Aiming at the limitation of the single type of response signal in the load identification, a multi-source fusion technique based on the combination of vibration signal and motor current signal was proposed. The results show that under the four types of sinusoidal, steady, linear and impulse loads,after the signals of two types were processed by singular value decomposition and wavelet packet decomposition, multi-source fusion technology based on Naive Bayes can identify four types of load.