Reliability assessment of ship propulsion machinery based on data mining
To analyze the correlation between evaluation indicators,construct a scientific evaluation indicator system,obtain accurate reliability evaluation results based on multidimensional evaluation indicators,and propose a reliability evalu-ation method for ship main propulsion machinery based on data mining.Collect massive amounts of data related to the oper-ation of ship propulsion machinery and obtain initial evaluation indicators;The factor analysis method in data mining techno-logy is used to analyze the correlation between initial indicators,and independent evaluation indicators are selected to con-struct the final reliability evaluation index system for ship main propulsion machinery.Using support vector mechanism in data mining technology to build a reliability evaluation model,inputting multidimensional evaluation index data into the evaluation model,mapping the multidimensional evaluation index data to a high-dimensional space through a kernel func-tion for classification,and outputting the reliability evaluation level.The experimental results show that the variance explana-tions of the selected evaluation indicators are all above 0.8,indicating that the information preservation of the selected evalu-ation indicators is relatively high,the evaluation results are completely consistent with the actual operation of the research object,indicating the effectiveness of this method.
data miningpromote mechanical devicesreliability assessmentfactor analysis methodindicator systemsupport vector machine
NETL
NSTL
万方数据
