ラフ集合決定ルールを利用したビル空調システムの異常状態評価方法

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2021/11/01

タイトル(英語): Evaluation Method of Fault Condition with Decision Rule of Rough Set in Building Air-conditioning System

著者名: 湯本　真樹（近畿大学理工学部電気電子工学科）

著者名(英語): Masaki Yumoto (Department of Electric and Electronic Engineering, Faculty of Science and Engineering, Kindai University)

キーワード: ビル空調システム，異常状態，評価方法，測定値時系列データ，概形，決定ルール　　building air-conditioning system，fault condition，evaluation method，measured time-series data，outline，decision rule

要約(英語): In a large-scale system like building air-conditioning system, measured time-series data is observed from many kinds of sensors. It is difficult to detect the fault by the administrators because only the limited experts can diagnose the unusual system. If we can extract characteristic changes of measured time-series data, we can calculate the evaluation value and grasp the sign of target fault condition. This paper proposes the evaluation method of fault condition with decision rule of rough set in building air-conditioning system. First, the proposal method extracts outline of target measured time-series data, and build the data set with qualitative values, which indicate the state of target system. Next, this method constructs the decision rule of a rough set with existence probability by comparison between normal and fault conditions. Finally, this method calculates evaluation value every time, based on the existence probability of each decision rules. Through practical experiments, it is confirmed that the proposal method can evaluate fault conditions called hunting, which occurs in supply air temp, water volume, and air volume.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.141 No.11 （2021） 特集：電気関係学会関西連合大会

本誌掲載ページ: 1144-1155 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/141/11/141_1144/_article/-char/ja/