Fault detection and diagnosis system for air-conditioning units using recurrent type neural network

Herath K U Samarasinghe, Shuji Hashimoto

    研究成果: Conference contribution

    3 引用 (Scopus)

    抜粋

    The air-conditioning systems of buildings have been diversified in recent years, and the complexity of the system has been increased. At the same time, stability in the system and the low-running cost are demanded. To solve these problems, various researches have been done. The development of the energy load prediction systems and the faults detection and diagnosis systems have received greater attention. In this paper, we propose a real time fault diagnosis system for air conditioning units (the heating unit, the cooling unit, the air intake unit, and the air-recycling unit) using a recurrent type neural network.

    元の言語English
    ホスト出版物のタイトルProceedings of the IEEE International Conference on Systems, Man and Cybernetics
    出版者IEEE
    ページ2637-2642
    ページ数6
    4
    出版物ステータスPublished - 2000
    イベント2000 IEEE International Conference on Systems, Man and Cybernetics - Nashville, TN, USA
    継続期間: 2000 10 82000 10 11

    Other

    Other2000 IEEE International Conference on Systems, Man and Cybernetics
    Nashville, TN, USA
    期間00/10/800/10/11

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Control and Systems Engineering

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  • これを引用

    Samarasinghe, H. K. U., & Hashimoto, S. (2000). Fault detection and diagnosis system for air-conditioning units using recurrent type neural network. : Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (巻 4, pp. 2637-2642). IEEE.