柴油机在线监测与主动再制造时机预测模型

The On-line Monitoring and Active Remanufacturing Opportunity Prediction Model of Diesel Engine

针对目前主动再制造研究中仍存在的问题,提出主动再制造的灰色预测理论,通过构造灰色模型来预测系统的发展规律。对R175型柴油机曲轴开展研究,建立了柴油机的主动再制造在线监测试验台与工况模拟试验台架;对耗油率试验的数据进行指数函数拟合,预测出曲轴磨损量达到极限值所用的时间,确定曲轴的最佳再制造点;最后对曲轴磨损—油耗试验进行二次函数拟合,得出耗油率与曲轴磨损量的映射关系。验证了主动再制造预测模型及其在线监测方法的有效性。

For the existing issue in the active remanufacturing research at present,the grey prediction theory of active remanufacturing,in which grey model is constructed to predict the law of development of the system,is presented.The crankshaft of R175 diesel engine is studied,firstly,the establishment of the on-line monitoring of diesel engine test bench and diesel engine working condition simulation test bench.Secondly,the exponential function fitting of data on fuel consumption tests is carried out to predict the limit time required for crankshaft wear and determine the optimal remanufacturing of the crankshaft.Finally,the crankshaft wear-fuel consumption test obtains the mapping relationship between the fuel consumption and the wear of the crankshaft by means of the quadratic function fitting.The active remanufacturing prediction model and the effectiveness of the on-line monitoring method is verified.