基于FAHP分析模型法的柱塞泵健康状态评估研究

Assessment of health status of plunger pump based on FAHP analysis model method

当前油田用泵存在故障状态与故障判断模糊性大、状态评估指标片面、现场维修指导性不强等问题,针对这些问题,提出了一种基于模糊层次分析法的分析模型方法,并将其用于油田用泵的健康状态评估。首先,将9标度与失效模式影响和关键性分析中的严酷度一一对应,进行了两两比较,建立了判断矩阵,计算了权重向量,并通过一致性检验建立了权重矩阵;其次,根据监测数据计算出劣化度,将其代入隶属度函数中,生成了模糊判断矩阵;并在此基础上利用权重矩阵和劣化度模糊判断矩阵,进行了矩阵相乘运算,得到了健康状态评价矩阵,并按照最大隶属度原则实时评估了设备健康状态;最后,采用该健康状态评估模型,对油田注水系统中使用的柱塞泵进行了健康状态评估实验,以验证该模型的有效性。研究结果表明:该健康状态评估模型在工程中具有良好的实用性和可行性,能很好地实时反映出设备在运行过程中的故障状态,可使设备的维护总成本降低5%~10%,计划维修时间节约20%~50%;该评估模型可为柱塞泵现场维检修提供有效的指导和帮助。

At present,there are some problems in oilfield pumps,such as fuzziness of fault state and fault judgment,one-sided condition evaluation index,weak guidance of on-site maintenance and so on.Aiming at this problem,an analysis model method based on fuzzy analytical hierarchy process(FAHP)was studied to assess the health status of oilfield pumps.Firstly,the 9-scale is one-to-one corresponding to the severity in failure mode effects and criticality analysis(FMECA),the judgment matrix was established through pairwise comparison,the weight vector was calculated,and the weight matrix was established through consistency test;secondly,the degradation degree was calculated according to the monitoring data and substituted into the affiliation degree function to generate the fuzzy judgment matrix;then,on this basis,using the weight matrix and the deterioration degree fuzzy judgment matrix,the health status evaluation matrix was obtained by matrix multiplication,and the equipment health status was evaluated in real time according to the principle of maximum membership degree;Finally,using the health evaluation model,a health evaluation experiment was carried out on the plunger pump used in the oilfield water injection system to verify the effectiveness of the model.The results show that the health state evaluation model has good practicality and feasibility in engineering,and can reflect the fault state of the equipment in operation in real time,reduce the total cost of equipment maintenance by 5%~10%,save 20%~50%of the planned maintenance time,and provide effective guidance and help for the field maintenance and repair.