A Multi-Parameter Coupled Correlation Data Analysis Method
In order to identify and analyze the parameters relevant to the faults caused by the performance degradation of the engine components and to find out the key influencing factors in order to conduct further works such as design tests and verification,we ran data analysis on all collected measurement data of engine components.Specifically,we sorted the importance of various parameters that may cause fault and identified the important factors that affect performance degradation.The identified important factors are used in the analysis of flight and test data of many modules to form a method for multi-parameter coupling and correlation data analysis.Due to the limited amount of data,the research works of fault parameter analysis,identification,modeling,and prediction are mainly concentrated on the multi-parameter with a small amount of data;we suggest that further analysis and verification of production,processing,testing,and flight data should be added.
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万方数据
