Safety assessment method for power operation environment based on multi-source data fusion

Author:

Yang Fan1ORCID,Jia Hengjie1ORCID,Yang Yingyi2ORCID,Hong Huansen1ORCID,Lai Jiayang2ORCID,Lan Haiwen1ORCID

Affiliation:

1. Guangdong Power Grid Corporation Shaoguan Power Supply Bureau, China

2. China Southern Power Grid Technology Co., Ltd., China

Publisher

ACM

Reference20 articles.

1. Manzione Rodrigo Lilla Silva César de Oliveira Ferreira Castrignanò Annamaria. A combined geostatistical approach of data fusion and stochastic simulation for probabilistic assessment of shallow water table depth risk[J]. Science of the Total Environment 2021 765(3):142743.

2. Chen Shaonan, Liang Shuo, Li Shan, Assessment of Electrical equipment status in distribution network based on multi-source data fusion[J]. IOP Conference Series: Earth and Environmental Science,2021,632(4): 042027.

3. Assessment of Noise Impact on Hybrid Adaptive Computational Intelligence Multisensor Data Fusion Applied to Real-Time UAV Autonomous Navigation[J];de Carvalho Paulino Ângelo;IEEE Latin America Transactions

4. Michelle T. Bensi Katrina M. Groth. On the value of data fusion and model integration for generating real-time risk insights for nuclear power reactors[J]. Progress in Nuclear Energy 2020 129(6):103497

5. Method of classification of global machine conditions based on spectral features of infrared images and classifiers fusion[J];Quantitative InfraRed Thermography Journal

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