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Huanyu Dong

Nanchang University · CN
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Area of research
Electrical and Electronic Engineering · Industrial and Manufacturing Engineering
Research interest
Research focused on Artificial neural network and Transformer, with related work in Probabilistic neural network, Dissolved gas analysis, Particle swarm optimization. Notable publications include 'BA-PNN-based methods for power transformer fault diagnosis', 'Machine Learning-Based Sensor Data Modeling Methods for Power Transformer PHM', and 'Bio-Inspired PHM Model for Diagnostics of Faults in Power Transformers Using Dissolved Gas-in-Oil Data'.
h-index
citations
172
works
3
NIH funding
primary concept
email

Recent publications

BA-PNN-based methods for power transformer fault diagnosis
Advanced Engineering Informatics 2019cited by 121position: lastdoi
Bio-Inspired PHM Model for Diagnostics of Faults in Power Transformers Using Dissolved Gas-in-Oil Data
Sensors 2019cited by 17position: firstdoi
Machine Learning-Based Sensor Data Modeling Methods for Power Transformer PHM
Sensors 2018cited by 34position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Zihao Xie · Nanchang University3 papers (2018–2019)Anyi Li · Nanchang University3 papers (2018–2019)Xiaohui Yang · Nanchang University3 papers (2018–2019)Chunsheng Yang · Nanchang University2 papers (2018–2019)Yuanlong Zuo · Nanchang University1 papers (2019–2019)
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