盲源分离, 累积量, 同时对角化, 转子, 振动信号

Combing the advantages of second- and fourth-order, a new algorithm based on second- and fourth-order cumulants simultaneous diagonallization was proposed, which was based on joint approximate diagonallization. A robust whitening method was introduced, which can effectively reduce the influence on the separation precision. Compared this algorithm's performance to JADE algorithm's and second-order algorithm's, the results show that the algorithm has the advantages of fast convergence speed and high separation precision. Through two simulation experiments, the results show that the proposed algorithm can separate speech signals and extract the independent sources from the hybrid mixture of any super-Gaussian and sub-Gaussian signals effectively. At last, this algorithm was applied to separate the practical rotor's vibration signals, the rotors' complex vibration signals are separated successfully. It provides a new method for separation of complex vibration signals in fault diagnosis processes.

blind source separation(BSS), cumulant, simultaneous diagonallization, rotor, vibration signal