A hybrid fuzzy logic and extreme learning machine for improving efficiency of circulating water systems in power generation plant

• 主要な著者: Aziz N.L.A.A., Yap K.S., Bunyamin M.A.
• その他の著者: 55812399400
• フォーマット: Conference paper
• 出版事項: Institute of Physics Publishing 2023
• 主題: Fault detection; Fuzzy logic; Learning systems; Waterworks; Circulating water system; Extreme learning machine; Fuzzy logic system; Improving efficiency; Mathematical tools; Natural languages; Overall efficiency; Power generation plants; algorithm; electricity generation; energy efficiency; fuzzy mathematics; natural resource; numerical model; pollution monitoring; uncertainty analysis; Knowledge acquisition

This paper presents a new approach of the fault detection for improving efficiency of circulating water system (CWS) in a power generation plant using a hybrid Fuzzy Logic System (FLS) and Extreme Learning Machine (ELM) neural network. The FLS is a mathematical tool for calculating the uncertainties...