To extract the information from turbopump mass data and analyze its health condition

the paper presented a mass data abnormal recognition algorithm based on manifold learning.The algorithm reconstructed turbopump vibration data in high-dimensional space.Then

the diffusion map method was used to directly learn the high-dimensional data and extract intrinsic low-dimensional manifold feature in data set.The abnormal condition in turbopump mass data was discerned visually.The validation results of simulation and test data demonstrate the feasibility and effectiveness of the presented algorithm.The algorithm conquers the shortcoming of the traditional methods that are insufficient for nonlinear problems

and gives a new solution of turbopump post-test health analysis.