A study of applying data mining techniques to maintenance knowledge recommendation -Aircraft maintenance database as example.

• Main Authors: Tzer-Min Wu, 吳澤民
• Other Authors: none
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/75862413932268429462

碩士 === 中原大學 === 資訊管理研究所 === 90 === Due to the development of information techniques in recent years. Lots of companies have setup information systems to collect the daily operation data and stored these data in the database. In order to enforce the competitive advantage for company. They want to retrieve some useful information and knowledge from data. The maintenance engineering arises from professional field and experience accumulated. Since the development of information techniques, we use information systems to store the knowledge and experience of people in the database. If we can’t transfer these data to useful knowledge for people, then we can’t transfer knowledge to others from these data. The researches of data mining techniques have been developed very well in many fields. The application of data mining techniques in maintenance field being in paid much attention in these years. The purpose of this study is to apply data mining techniques to maintenance knowledge retrieval and to construct a maintenance knowledge recommendation system. This system can help maintenance engineer to finish their work more quickly. This study applying traditional memory based reasoning technique (RMBR) to obtain a preliminary result and analysis the data character. Then we propose a class-oriented memory based reasoning technique (CMBR) to improve the accuracy and performance of classification. The experimental results of CMBR show a higher accuracy than traditional MBR (RMBR). This study applying CMBR to construct a classified model and use this model to construct a maintenance knowledge recommendation system. This recommendation system can help maintenance engineer to find technical document and solution to complete his work. Because line maintenance must be completed in the shorten time. Helping by the maintenance knowledge recommendation system, then the maintenance engineer will do job well and quickly. In addition, he can acquire the experience from others.