Abnormal recognition algorithm based on manifold learning for turbopump mass data

作者：Xia Lu Rui^*; Hu Niao Qing; Qin Guo Jun

来源：Journal of Aerospace Power, 2011, 26(3): 698-703.

• Abnormal conditions
• Abnormal recognition
• Data sets
• Health condition
• High dimensional data
• High dimensional spaces
• Intrinsic low-dimensional manifolds
• Manifold learning
• Map methods
• Mass data
• New solutions
• Nonlinear problems
• Recognition algorithm
• Test data
• Turbo pumps
• Validation results
• Vibration data

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.

• 出版日期2011
• 单位中国人民解放军装备学院