Dr. Takashi Iizuka Profile

Dr. Takashi Iizuka

at Kyoto Institute of Technology

SPIE Involvement:

Author

Publications (8)

Proceedings Article | 18 April 2022 Presentation + Paper

Effect of temperature on the magnetically coupled return loss of smart gear system

T. Inoue, D. Iba, T. T. Mac, S. Mukai, N. Fujita, R. Takahashi, N. Miura, T. Iizuka, A. Masuda, A. Sone, I. Moriwaki

Proceedings Volume 12046, 120460V (2022) https://doi.org/10.1117/12.2612789

KEYWORDS: Signal attenuation, Antennas, Sensors, Inductive coupling, Temperature metrology, Signal processing, Network security, Thermal imaging cameras, Thermography, Laser sintering

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In our project, a novel gear health monitoring system called a “smart gear sensor system” has been being developed. This system has a smart gear sensor and a monitoring antenna. The smart gear sensor has been created by using a laser sintering technique that allows a conductive ink to be sintered directly on the gear surface to form a sensor chain. This technique is also used to form an antenna pattern of the monitoring antenna. Experimentally, when the smart gear with the integrated sensor chain is brought parallelly close to the monitoring antenna while this antenna is connected to a network analyzer, a magnetic coupling happens. This wireless magnetic coupling is presented via the return loss signal gained by the network analyzer. Moreover, the conductivity of the sensor chain on the smart gear has been proven to affect the magnetically coupled return loss signal. Specifically, the shape of the return loss signal will be changed correspondingly. Since the sensor chain is sintered directly on the surface of the gear, the physical characteristics of the gear such as healthy or cracked will result in the quality of the sensor conductivity. Therefore, the smart gear's healthy or cracked characteristics can be observed via the return loss signal chart obtained by the network analyzer. In other words, the return loss signal can be considered essential data for the gear health monitoring process. Nevertheless, because the temperature will have a certain influence on the physical state of not only the gear but also the sintered sensor, the evaluation of the temperature to the magnetic coupling and its return loss signal becomes unavoidable. As a result, this study focuses majorly on the consideration of the influence of the temperature so that the accuracy of the proposed gear health monitoring method can be improved. The final experimental result and analysis demonstrate that the temperature also significantly impacts the return loss of the smart gear system.

Proceedings Article | 22 March 2021 Presentation + Paper

Effect of phase fluctuation at high speed of smart gear on return loss of receiver antenna

T. Mac, D. Iba, Y. Matsushita, S. Mukai, T. Inoue, A. Fukushima, N. Miura, T. Iizuka, A. Masuda, I. Moriwaki

Proceedings Volume 11591, 115910E (2021) https://doi.org/10.1117/12.2582468

KEYWORDS: Antennas, Receivers, Sensors, Signal attenuation, Signal detection, Phase shifts, Magnetism

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Proceedings Article | 22 March 2021 Presentation + Paper

An improvement of visualized images from vibration for plastic gear early failure detection using convolutional neural network

D. Taga, D. Iba, B. H. Kien, Y. Tsutsui, N. Miura, T. Iizuka, A. Masuda, I. Moriwaki

Proceedings Volume 11593, 115932N (2021) https://doi.org/10.1117/12.2582637

KEYWORDS: Visualization, Convolutional neural networks, Image visualization

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Proceedings Article | 22 April 2020 Presentation + Paper

Effect of image size on performance of a plastic gear crack detection system based convolutional neural networks: an experimental study

B. Kien, D. Iba, Y. Tsutsui, A. Kajihata, Y. Lei, N. Miura, T. Iizuka, A. Masuda, A. Sone, I. Moriwaki

Proceedings Volume 11381, 113812I (2020) https://doi.org/10.1117/12.2557977

KEYWORDS: Visualization, Image visualization, Image quality, Image classification, Convolutional neural networks, Feature extraction, Image resolution, Image processing, Data acquisition, Data conversion

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Proceedings Article | 18 March 2019 Paper

Vibration analysis of a meshing gear pair by neural network (Visualization of meshing vibration and detection of a crack at tooth root by VGG16 with transfer learning)

D. Iba, Y. Ishii, Y. Tsutsui, N. Miura, T. Iizuka, A. Masuda, A. Sone, I. Moriwaki

Proceedings Volume 10973, 109730Y (2019) https://doi.org/10.1117/12.2514250

KEYWORDS: Convolutional neural networks, Neural networks, Failure analysis, High speed cameras, Data acquisition

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Proceedings Article | 18 March 2019 Paper

Development of smart gear system by conductive-ink print (impedance variation of a gear sensor with loads and data transmission from an antenna)

D. Iba, S. Futagawa, N. Miura, T. Iizuka, A. Masuda, A. Sone, I. Moriwaki

Proceedings Volume 10973, 1097309 (2019) https://doi.org/10.1117/12.2515339

KEYWORDS: Antennas, Sensors, Teeth, Laser sintering, Smart sensors

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Proceedings Article | 27 March 2018 Paper

Conductive ink print on PA66 gear for manufacturing condition monitoring sensors

Shintaro Futagawa, Daisuke Iba, Takahiro Kamimoto, Morimasa Nakamura, Nanako Miura, Takashi Iizuka, Arata Masuda, Akira Sone, Ichiro Moriwaki

Proceedings Volume 10602, 106020R (2018) https://doi.org/10.1117/12.2295771

KEYWORDS: Sensors, Laser sintering, Printing, Coating

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Proceedings Article | 12 April 2017 Paper

Development of sensing systems printed with conductive ink on gear surfaces: manufacturing of meander line antenna by laser-sintered silver nano-particles

D. Iba, S. Futagawa, T. Kamimoto, M. Nakamura, N. Miura, T. Iizuka, A. Masuda, A. Sone, I. Moriwaki

Proceedings Volume 10168, 101683G (2017) https://doi.org/10.1117/12.2259864

KEYWORDS: Sensors, Antennas, Manufacturing, Printing, Sensing systems, Laser sintering, Nonimpact printing, Resistance, Laser development, Scanning electron microscopy

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Showing 5 of 8 publications

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