MERL - Mitsubishi Electric Research Laboratories

Shinya Tsuruta

Shinya Tsuruta
Shinya's Quick Links

  • 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.

  • Other Publications

    •  Shinya Tsuruta, Koji Wakimoto, Takaaki Nakamura, Shahin Siahpour, Marcella Miller, John Taco and Jay Lee, "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}
      • }