豊橋技術科学大学

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Kawashima, Tomohiro

Affiliation Department of Electrical and Electronic Information Engineering
Title Associate Professor
Fields of Research Measurement, High Voltage, Electrical insulation,
Degree Doctor of Engineering (Toyohashi University of Technology)
Academic Societies Department of Electrical and Electronic Information Engineering
E-mail kawashima@ee
Please append ".tut.ac.jp" to the end of the address above.
Laboratory website URL https://ham-kawashima.net/
Researcher information URL(researchmap) Researcher information

Research

Current electric power systems are evolving from power generation to usage, particularly with the promotion of renewable energy and the rise of electric vehicles. However, the aging of power equipment introduced in large quantities during significant economic growth poses a serious challenge. It is essential to quantitatively assess the lifespan of this equipment and ensure a stable electricity supply through appropriate upgrades. Additionally, developing technology for next-generation power systems is vital. We are advancing nondestructive high-voltage measurement technology that aids in diagnosing the condition of power systems. We also aim to apply this developed technology to research areas such as steel, automobiles, robotics, and food.

Theme1:Condition Assessment of High Voltage Insulation Systems by Non-destructive Measurement Technique

Overview
Condition assessment of deterioration based on waveform characteristics of partial discharge

One cause of the deterioration of high-voltage insulation systems in power equipment is minute discharges, specifically partial discharges. Measuring partial discharges with the broadest possible bandwidth and time series and then quantitatively evaluating the deterioration areas and conditions using waveform information should be beneficial in preventing severe accidents. In this research, we develop a condition assessment technology based on a time-series analysis of the characteristics of partial discharge waveform characteristics, which can also be used for on-site measurements. In addition, we aim to assess the state of deterioration and make predictions using machine learning.

Keywords

Partial discharge, waveform characteristics, deterioration diagnosis, time-series analysis, machine learning, prediction

Theme2:Development of High Voltage Dielectric Spectro Meter and Its Applications

Overview

The dielectric properties at high voltages are typically assessed using bridge circuits. While a transformer can quickly generate high voltages as a power source, sweeping the frequency presents challenges in many instances. Attaining a frequency spectrum at high voltages enables us to assess nonlinear phenomena associated with the degradation of insulation systems, for example. We develop a high-voltage dielectric spectrometer. Additionally, we intend to use it to diagnose high-voltage insulation systems in power equipment, assess the performance of high-voltage-driven actuators, and conduct real-time nondestructive evaluations of food products.

Keywords

High voltage, dielectric spectrum, charge behavior, condition diagnosis

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