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Mr. Wenke Dai | Signal Processing | Best Researcher Award

PHD at Nanjing University of Aeronautics and Astronautics, China

Dai Wenke is a Ph.D. student at Nanjing University of Aeronautics and Astronautics, specializing in signal processing with a focus on modal analysis. He holds a master’s degree in Mechanical Engineering from Nanchang Hangkong University and a bachelor’s degree from Southwest Forestry University. With over two years of research experience, Dai has published multiple papers on damage identification and crack growth analysis. His innovative work includes developing a multi-batch Order Based Modal Analysis (OBMA) technique for large structures under rotational excitation, which enhances the accuracy of modal parameter identification with limited sensors.

Professional Profiles

  • Scopus
  • Orcid
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Education

Ph.D. in Mechanical Engineering (In Progress) Institution: Nanjing University of Aeronautics and Astronautics Duration: 2022-04-01 – Present Master’s Degree in Mechanical Engineering Institution: Nanchang Hangkong University Duration: 2017-09-01 – 2020-06-01 Bachelor’s Degree in Mechanical Engineering Institution: Southwest Forestry University Duration: 2013-09-01 – 2017-06-01

Academic Achievements

Damage Identification of Cracked Circular Cross Section Beam by Frequency Contour Line Method Machine Tool & Hydraulics, 2021, 49(7): 26-32. Analysis on Tooth Crack Growth Life of a Gear Pair with Double Cracks Lubrication Engineering, 2019, 44(12): 52-57. Crack Growth Rate Model Based on Modal Frequency for a V-Notched Beam Journal of Propulsion Technology, 2019, 40(11): 2571-2578.

Research, Innovations, and Extensions

No. of Research Projects Completed and Ongoing: 1 No. of Consultancy and Industry Sponsored Projects: 0 Total Cost of All Projects: 0 USD/INR No. of Journals Published in SCI and SCIE Index: 2 No. of Journals Published in Scopus, Web of Science, and PubMed Index: 1 No. of Journals Published in Other Indexes: 6

Publications

  1. Gamma-ray attenuation parameters of HDPE filled with different nano-size and Bulk WO3, cited by: 14,  Publication date: 2023.
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Wenke Dai | Signal Processing | Best Researcher Award

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