Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers

IF 9 1区 工程技术 Q1 ENERGY & FUELS Energy Pub Date : 2010-12-01 DOI:10.1016/J.ENERGY.2010.06.001
K. Salahshoor, Mojtaba Kordestani, M. S. Khoshro
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引用次数: 201
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基于支持向量机(SVM)和自适应神经模糊推理系统(ANFIS)的工业汽轮机故障检测与诊断
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来源期刊
Energy
Energy 工程技术-能源与燃料
CiteScore
15.30
自引率
14.40%
发文量
0
审稿时长
14.2 weeks
期刊介绍: Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.
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