Applying Data Mining Technologies to Automotive Diagnostics and Maintenance

• Main Authors: Chih-Jen Liang, 梁至仁
• Other Authors: Mu-Der Jeng
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/15440394361277062096

碩士 === 國立臺灣海洋大學 === 電機工程學系 === 98 === Today, the fleet management system provides numerous services, the purpose of the research is based on the recharge services and the concept of applications behind this system via monitoring the vehicles driving information and applying the data mining technologies. Using the oil consumption to be the principle to find standards for vehicle’s energy saving and diagnosis of vehicle’s condition for maintenance. In this thesis, we are going to perform a web-base chart analysis system to monitor the vehicle driving Information through applying the oil consumption analysis and data mining technologies. The result not only can provide drivers to amend their driving behaviour and conclusions of the vehicle’s diagnosis for maintenance, but also can apply statistic regression analysis to be the mechanism for prediction. Therefore, this system fulfils concrete oil consumption analysis and the feature of prediction. It can be the basic platform for oil consumption analysis and diagnosis of vehicle’s condition for maintenance.