主催: 公益社団法人 空気調和・衛生工学会
会議名: 平成29年度空気調和・衛生工学会大会(高知)
開催地: 高知
開催日: 2017/09/13 - 2017/09/15
The purpose of this study is to diagnose the cause of a fault in a real heat source system by deep learning with training data created by a detailed simulation. Our study is composed of two reports, and in this report we created a database by calculating the state where the system should be, and the states with various assumed causes of the fault.