挖泥船泥泵系统预测性维护实现方法  

Implementation Method of Predictive Maintenance of Dredger Pump System

作　　者：邓义斌[1] 黄龙归 赵六军 DENG Yibin;HUANG Longgui;ZHAO Liujun(School of Naval Architecture,Ocean and Energy Power Engineering,Wuhan University of Technology,Wuhan 430063,China;Changjiang Wuhan Waterway Engineeing Bureau,Wuhan 430014,China)

机构地区：[1]武汉理工大学船海与能源动力工程学院,武汉430063 [2]长江武汉航道工程局,武汉430014

出　　处：《武汉理工大学学报（交通科学与工程版）》2023年第5期866-869,875,共5页Journal of Wuhan University of Technology（Transportation Science & Engineering）

基　　金：工业互联网标识解析二级节点(运输行业应用服务平台)项目(TC190A3X8-7)。

摘　　要：文中针对泥泵SCADA数据工况混杂、含有“脏数据”等问题,采用聚类算法、双向清洗等方法进行处理.建立泥泵健康状态评估指标体系,利用EEMD-NARX神经网络进行趋势预测.以单位时间内的维修费用来作为评价准则,通过两种维修策略对比分析,验证了预测性维修策略的优势.Aiming at the problems of mixed working conditions and“dirty data”in SCADA data of sludge pump,clustering algorithm and two-way cleaning were adopted for processing.The health evaluation index system of mud pump was established,and the trend was predicted by EEMD-NARX neural network.Taking the maintenance cost per unit time as the evaluation criterion,the advantages of predictive maintenance strategy were verified through the comparative analysis of two maintenance strategies.

关 键 词：预测性维护技术 泥泵 趋势预测 数据处理 

分 类 号：U674.31[交通运输工程—船舶及航道工程]