摘要
油液光谱分析是研究综合传动运行状态的重要方法,以油液光谱分析数据为基础,运用主成分分析法(PCA)和层次分析法(AHP),建立了一种综合传动健康状态的评价模型。文章结合机械设备健康的概念,综合考虑油液光谱分析数据中各种磨损元素的影响,提出用健康值来定量描述综合传动运行状态的概念,并根据健康值对综合传动健康状态进行了等级划分;利用主成分分析法,对油液光谱分析数据进行主成分提取的研究分析;运用层次分析法研究主成分权重值,探讨判断矩阵的构造、一致性检验等问题;然后将二者有机的耦合,建立评价模型;实验研究表明,此方法具有很高的准确性,能够有效地判断综合传动的运行状态,对开展综合传动状态评估具有重要意义。
Spectrometric oil analysis is an important method to study the running state of power-shift steering transmission （PSST）. An evaluation model of PSST health state was developed on the basis of the theories of principal component analysis （PCA） and analytic hierarchy process （AHP） using spectrometric oil analysis data. Considering the concept of mechanical equip- ment and wear elements in spectrometric oil analysis data, the health value was employed to quantitatively describe the running state degree of PSST, and the grades of health state were classified based on the health values. The oil analysis data were studied during the process of choosing principal components. The weight vectors of principal components were obtained by using the AHP method. In the course, the conformation of judgement matrix and the consistency check were also studied. The evaluation model was developed by combining the PCA and AHP methods. This model has been proved to have better accuracy in evaluating the running state of PSST. This work is important for developing state evaluation of PSST.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2010年第4期1008-1012,共5页
Spectroscopy and Spectral Analysis
基金
国防'十一五'预先研究项目(62301030303)
高等学校学科创新引智计划(B08043)
总装'十一五'预研项目(40402020102)资助
关键词
光谱分析
PCA-AHP综合传动
健康状态
Spectral analysis
PCA-AHP methodology
Power-shift steering transmission（PSST）
Health state
