振动
转子(电动)
非负矩阵分解
希尔伯特-黄变换
断层(地质)
信号(编程语言)
控制理论(社会学)
计算机科学
职位(财务)
干扰(通信)
盲信号分离
工程类
算法
矩阵分解
人工智能
声学
计算机视觉
机械工程
财务
滤波器(信号处理)
控制(管理)
程序设计语言
计算机网络
地震学
经济
特征向量
量子力学
地质学
频道(广播)
物理
作者
Bo Lang,Xinyi Zhang,Jun Xiao,Shouhang Lu,Bing Li
摘要
Accordingly, the mass unbalance of the rotors is usually the major cause of excessive vibration. The information extracted at the fundamental frequency is often employed to fix the unbalance issue. However, other rotor faults like rotor bending and bearing-failure effect also generate additional components to the characteristics. Thus, it is necessary to isolate the corresponding features and obtain the intrinsic causes of the multiple failures. In this paper, a productive hybrid method is successfully developed to deal with the root mass unbalance problem with additional force interference by integrating the superiority of different methods, including Ensemble Empirical Mode Decomposition (EEMD) and Nonnegative Matrix Factorization (NMF), where EEMD is used to obtain sensitive IMFs and NMF is employed to acquire the inherent source signal, respectively. Meanwhile, a root dynamic balancing and implemental framework is also developed to accomplish the task of vibration reduction. For verification, a serial of simulations and experimental investigations have been analysed to demonstrate the preferable potentialities of the proposed method. In particular, a standard Bently Nevada rotor rig with a specifically designed device was employed to simulate appended faults by adjusting the additional forces during the experimental steps. The analysis results show that the proposed method can isolate and extract the unbalance faults from the raw vibration signals and achieve accurate correction balancers, where a nearly identical correction angle has been achieved, which indicates that the optimal installation position has been successfully figured out.
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