典型文献
Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models
文献摘要：
Physical models carry quantitative and explainable expert knowledge.However,they have not been introduced into gas face seal diagnosis tasks because of the unacceptable computational cost of inferring the input fault parameters for the observed output or solving the inverse problem of the physical model.The presented work develops a surrogate-model-assisted method for solving the nonlinear inverse problem in limited physical model evaluations.The method prepares a small initial database on sites generated with a Latin hypercube design and then performs an iterative routine that benefits from the rapidity of the surrogate models and the reliability of the physical model.The method is validated on simulated and experimental cases.Results demonstrate that the method can effectively identify the parameters that induce the abnormal signal output with limited physical model evaluations.The presented work provides a quantitative,explainable,and feasible approach for identifying the cause of gas face seal contact.It is also applicable to mechanical devices that face similar difficulties.
文献关键词：
中图分类号：
作者姓名：
Yuan YIN;Weifeng HUANG;Decai LI;Qiang HE;Xiangfeng LIU;Ying LIU
作者机构：
State Key Laboratory of Tribology in Advanced Equipment,Tsinghua University,Beijing 100084,China
文献出处：
引用格式：
[1]Yuan YIN;Weifeng HUANG;Decai LI;Qiang HE;Xiangfeng LIU;Ying LIU-.Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models)[J].机械工程前沿,2022(03):222-236
A类：
prepares
B类：
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AB值：
0.558924
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