The application of text analysis methods on household appliance after-sale reliability analysis
The after-sales maintenance data is a critical material for learning the reliability performance of household appliances on user end.Calculating the market reliability at specific periods by using after-sale maintenance data and sales data,guidance can be generated to assist the improvement of after-sale service and product development.Influenced by numerous failure modes,delayed training and human error in judgment,after-sale hotline personnels or maintenance personnels may make mistakes in the recording of failure modes,and then affect the reliability analysis of each failure mode.This article introduces a methodology for estimating product reliability in market,this method based on after-sale repair data of air treatment system,uses text analysis technology such as jieba word-cut,TF-IDF and clustering to increase the accuracy of failure classification,and applies Reliability Block Diagram(RBD)to the reliability analysis of each failure mode,part,and system.
国家科技期刊平台
NSTL
万方数据
