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- Yasushi Shinohara
Yasushi Shinohara
Executive Research Scientist, Ph.D. (Intelligence)
Born in Hokkaido
Ph.D. Program/The Graduate University for Advanced Studies, SOKENDAI , Graduate School/University of Tokyo
[Field of reseach] Data Analysis, AI
Project
Achieving efficient equipment maintenance by creating abnormality judgment criteria
He developed analytical methods such as determining equipment abnormalities and estimating household power usage by analyzing data that serve as human judgment criteria. The learning method of the criteria that enables highly accurate estimation even for durable power equipment with low abnormality data is used to analyze gas-in-oil of oil-immersed transformers and to determine abnormality in oil-filled cables.
Awards and accolades:
The Promotion Foundation for Electrical Science and Engineering 65th Electrical Science and Engineering Promotion Award
[Theme]"Extension of support vector machine and application to electric power field"
Research
Reports
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Trends of Blockchain Technology and Applications in Energy and Other Domains
Research Report : C17015 -
Gas-In-Oil based Diagnosis of Junction Boxes of Oil Filled Cables -Deveopment of Criteria using Support Vector Machines-
Research Report : R13002 -
Efficient Generation of Diagnositc Discrimination Functions – Automatic Selection of Important Image Features –
Research Report : R10004 -
Transformer Condition Classification based on Gas-In-Oil
Research Report : R10030