Abstract:

Aiming at lack of quantification analysis methods and tools in the influences of hydraulic system cleanliness in the total system and the diverse problems of hydraulic system and the failure sources, the cleanliness and failures of hydraulic system were analyzed utilizing entropy weight method of information science for reference. The concept of cleanliness entropy was given for the first time and the hydraulic system influenced by cleanliness was analyzed. The characteristic judgment matrix of hydraulic system failure sources was built and the nonannihilative hydraulic system failures were dated back to the cleanliness of several components and oil. A mathematical model of cleanliness entropy was created and the expert marking was employed to evaluate and sequence different comprehensive cleanliness entropy weights and the key failure sources were extracted which affected the performance of the system. The paper utilized an example to calculate cleanliness entropy and a software simulation verified the calculation process of cleanliness entropy. At last, failure sources were of sequencing and the key failure sources were obtained. The method gives a reparation of the blind spot of the traditional analysis method of hydraulic system which is not able to quantify and improves the confirmation of the causes of hydraulic system failures to better directness and accuracy.

Key words: cleanliness entropy, hydraulic system, entropy weight, method, failure source

摘要：

针对液压系统清洁度对整个系统故障影响缺乏量化分析方法和工具，液压系统故障及故障源的多样性问题，借鉴信息论的熵权法，对液压系统的清洁度和故障进行了分析。提出“清洁度熵”的概念，分析了清洁度对液压系统故障的影响，建立了液压系统故障源的特性判断矩阵，将液压系统非损坏性故障追溯到各零件、油液等的清洁度，建立了清洁度熵的数学模型，并运用专家打分法对各清洁度熵综合权重进行了评价与排序，提取影响系统性能的关键故障源。结合实例进行了清洁度熵的计算，利用软件仿真法验证了清洁度熵计算过程，然后对故障源进行排序，得到了关键故障源。该方法弥补了传统的液压系统故障分析方法缺乏定量分析的缺点，使得液压系统故障原因的确定更为直接、准确。

关键词: 清洁度熵, 液压系统, 熵权法, 故障源