Aero-engine arguments selection based on wavelet network mean impact value

作者：Cui Zhiquan^*; Fu Xuyun; Zhong Shisheng; Wang Tichun

来源：Computer Integrated Manufacturing Systems, 2013, 19(12): 3062-3067.

DOI：10.13196/j.cims.2013.12.cuizhiquan.3062.6.20131217

• Aero-engine
• Arguments selection
• Mean impact value
• Wavelet network

To achieve the non-linear variables selection rapidly and accurately, the engine arguments parameters selection method for wavelet neural network's Mean Impact Value(MIV) was proposed based on the ideological of MIV and the advantages such as learning ability, fast convergence with adaptive and fault tolerance of wavelet neural network. According to the relationship characteristics of the engine parameters, the continuous multi-parameter approximation wavelet network model was established, and the learning algorithm was given. Simulation results showed that the proposed method could achieve complex nonlinear variable selection and have higher accuracy and faster features by comparing to other non-linear variable selection method.

• 出版日期2013
• 单位南京航空航天大学