The Study of Helicopter Flight Data Mining Based on Grey Relationship Analysis

碩士 === 立德大學 === 資訊傳播研究所 === 97 === Aircraft maintaining is a high-cost and high-tech industry .In order to support he demand of campaigning and training, national army has to maintain high availability which can support difficult campaign subject .In the past, we can only depend on relative theory a...

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Bibliographic Details
Main Authors: Wen-Chun Tsai, 蔡文君
Other Authors: Ziping Chiang
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/94192686244000861992
Description
Summary:碩士 === 立德大學 === 資訊傳播研究所 === 97 === Aircraft maintaining is a high-cost and high-tech industry .In order to support he demand of campaigning and training, national army has to maintain high availability which can support difficult campaign subject .In the past, we can only depend on relative theory and formula .I repairing experience and the skill makes for aircraft .We can not figure out the relation of every single expired spare parts. To solve the above problems, this study use Data Transfer System in helicopter, which can record flying attitude, flying control, engine and location. Put these in Data mining with grey relational analysis .In this way, we can figure out the relationship in flight data and match with an existing aviation database which can find out the relationship between flying statistic and every expired spare parts which several data analysis, we can give warning to repairing groups, help Logistic person in purchasing and save money .The outcome of this study also can be used in other types of helicopters and business aircrafts.