Safety assessment method for power operation environment based on multi-source data fusion
Author:
Affiliation:
1. Guangdong Power Grid Corporation Shaoguan Power Supply Bureau, China
2. China Southern Power Grid Technology Co., Ltd., China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638264.3638271
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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