With regard to the problem that there are influence of subjective factors and complicated calculation existed in process of evaluation of state of OCS,and for the realization of accurate and effective evaluation of state of OCS,a method for evaluation of state of OCS based on LNMF algorithm is put forward.According to the concept of data dimensionality reduction,various types of state data of OCS are constructed into a matrix,and the LNMF algorithm is used to perform dimensionality reduction on the matrix.By visualizing the matrix data,a visual boundary map of OCS state is obtained.Compared with the existing evaluation method,the research results show that the LNMF algorithm can eliminate the influence of subjective human factors,and the calculation process is simpler than traditional statistical methods,and at the same time,it more intuitively displays the trend of changing of the state of OCS,providing an effective and feasible method for accurate evaluation of the health state of OCS.
LNMFdata dimensionality reductionevaluation of state of OCSvisualization
万方数据
维普
