Shinya Tsuruta

- Phone: 617-621-7504
- Email:
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Position:
Research / Technical Staff
Visiting Research Scientist -
Education:
M.S. , University of Tokyo, 2011 -
Research Areas:
Shinya's Quick Links
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Biography
Shinya Tsuruta, focusing on data analysis and machine learning, directs his research toward anomaly detection, condition-based maintenance, and machine learning applications in manufacturing. From 2011-2019, he worked as a mechanical engineer and embedded software engineer at Canon, significantly improving camera and printer performance and developing a fault prediction system. Since 2020, he has been contributing to Information Technology R&D center at Mitsubishi Electric Corp., Japan.
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Other Publications
- "Advancing Predictive Maintenance: A Study of Domain Adaptation for Fault Identification in Gearbox Components", Asia Pacific Conference of the Prognostics and Health Management Society, September 2023, vol. 4.BibTeX External
- @Inproceedings{Tsuruta2023PHMAP06,
- author = {Tsuruta, Shinya and Wakimoto, Koji and Nakamura, Takaaki and Siahpour, Shahin and Miller, Marcella and Taco, John and Lee, Jay},
- title = {Advancing Predictive Maintenance: A Study of Domain Adaptation for Fault Identification in Gearbox Components},
- booktitle = {Asia Pacific Conference of the Prognostics and Health Management Society},
- year = 2023,
- volume = 4,
- number = 1,
- month = sep,
- url = {https://www.papers.phmsociety.org/index.php/phmap/article/view/3714}
- }
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- "Advancing Predictive Maintenance: A Study of Domain Adaptation for Fault Identification in Gearbox Components", Asia Pacific Conference of the Prognostics and Health Management Society, September 2023, vol. 4.