Transformer Monitoring And Control by Using IOT
Ranpise Anmol Navnath
, Bharade prathmesh Subhash , Bhagyawant Suraj Dattatray , Admane satyajit shantinath , Salunkhe Rutuja
Transformer Monitoring And Control by Using IOT, Electrical engineering
The study introduces a new way to find problems in transformers using the Internet of Things (IoT) and a type of
advanced computer system called ensemble machine learning (EML). The IoT system has two main parts: one measures vibrations in
the transformer, and the other sends this data to a far-away computer. Then, they use a combination of deep belief networks (DBNs),
stacked denoising autoencoders (SDAs), and relevance vector machines (RVMs) to analyze the data. DBNs and SDAs help understand
the data, while RVMs decide if there's a problem. They also have a smart method to combine these techniques for better results. Finally,
"Transformer Monitoring And Control by Using IOT", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.a664-a667, February-2024, Available :https://tijer.org/TIJER/papers/TIJER2402080.pdf
Volume 11
Issue 2,
February-2024
Pages : a664-a667
Paper Reg. ID: TIJER_151324
Published Paper Id: TIJER2402080
Downloads: 000272
Research Area: Science and Technology
Country: Solapur, Maharashtra, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
