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Considering the problem of blind source separation without known number of sources for complicated mechanical system, this paper proposes a novel blind source separation (BSS) algorithm based on parallel factor analysis (PARAFAC). In the proposed method, the centralized sensor data are firstly divided into non-overlapping range blocks of fixed size, and single time-delay covariance matrices of each...
The existing separation of machine fault sources is only restricted to the linear mixing source signals. However, the observed signals do not suffice to this condition in the practical application. In view of this deficiency, a new mechanical source separation method based on nonlinear blind source separation (BSS) is proposed. The proposed method is compared with the linear BSS method of machine...
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