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Research

Dr Darren Williams

Professor in Practice

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  1. 2024
  2. Published

    Special features on continuous learning based condition monitoring for crucial components

    Shen, C., Li, X., Xia, M., Williams, D. & Martínez García, M., 1/05/2024, In: Measurement Science and Technology. 35, 5, 4 p., 050101.

    Research output: Contribution to Journal/Magazine › Editorial › peer-review

  3. 2023
  4. Published

    A new multisensor partial domain adaptation method for machinery fault diagnosis under different working conditions

    Zhu, J., Wang, Y., Xia, M., Williams, D. & De Silva, C. W., 4/10/2023, In: IEEE Transactions on Instrumentation and Measurement. 72, 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    Reliable and Intelligent Fault Diagnosis with Evidential VGG Neural Networks

    Zhou, H., Chen, W., Cheng, L., Williams, D., De Silva, C. W. & Xia, M., 7/03/2023, In: IEEE Transactions on Instrumentation and Measurement. 72, p. 1-12 12 p., 3508612.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. 2022
  7. Published

    Digital Twin-Driven Machine Condition Monitoring: A Literature Review

    Liu, H., Xia, M., Williams, D., Sun, J., Yan, H. & Xiao, X., 30/07/2022, In: Journal of Sensors. 2022, 13 p., 6129995.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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