Changgen Bu | Mechatronic Systems | Excellence in Engineering Award

Changgen Bu | Mechatronic Systems | Excellence in Engineering Award

Prof Dr. Changgen Bu , China University of Geosciences (Beijing), China.

Publication profile

Scopus

Education and Experience

  • Ph.D. in Mechanical Engineering – China University of Geosciences 🏅
  • M.S. in Mechanical Engineering – China University of Geosciences 🎓
  • Professor and Doctoral Supervisor – China University of Geosciences (Beijing), since 1987 👨‍🏫
  • Recipient of First Prize, Anhui Science and Technology Award (2015) – Recognized for advancements in mechatronic design and diamond brazing tools 🏆

Suitability For The Award

Professor Changgen Bu is highly suitable for the Excellence in Engineering Award due to his exceptional contributions to mechanical engineering, particularly in the areas of mechatronic systems, mechanical dynamics, and diamond tool brazing technology. He has dedicated his career to advancing engineering solutions with significant impact on industrial practices in China and beyond.

Professional Development 

Awards and Honors 

  • Anhui Science and Technology Award, First Prize (2015) – Recognized for significant contributions in mechanical engineering and brazing technology advancements 🥇
  • Principal Investigator, NSFC Project – Led research on DTH hammer dynamic design and drill string resilience 📜

Publications

  • 📄 “Theoretical study on fatigue damage of sonic standing wave resonant drill-string” – cited by 1 (2023).
  • 📄 “Influence of sonic vibrator mass on the modal frequency of the drill string” – cited by 4 (2020).
  • 📄 “Symmetrized splitting operator method for dynamic consolidation problem of saturated porous semi-infinite foundation” – cited by 2 (2019).
  • 📄 “In-lab micro drill test of brazed diamond bit” – cited by 0 (2018).
  • 📄 “The transient impact of the resonant flexible drill string of a sonic drill on rock” – cited by 16 (2017).
  • 📄 “Tensile test and section analysis on matrix of brazing diamond bit” – cited by 0 (2017).
  • 📄 “Cost-effective improvements of a rotating platform by integration of a high-accuracy inclinometer and encoders for attitude evaluation” – cited by 5 (2017).
  • 📄 “Arithmetic solution for the axial vibration of drill string coupling with a down-the-hole hammer in rock drilling” – cited by 11 (2016).
  • 📄 “Research on flexible drill string vibration induced by sonic harmonic excitation” – cited by 4 (2015).

Jawad Faiz | Electrical Machines | Best Researcher Award

Prof Dr. Jawad Faiz | Electrical Machines | Best Researcher Award

Professor at University of Tehran , Iran

Dr. Jawad Faiz is a distinguished professor in the School of Electrical and Computer Engineering at the University of Tehran. With extensive contributions to the field of electrical engineering, his work spans the design, modeling, and control of various electrical machines, including induction generators and switched reluctance machines. His research has significantly advanced fault diagnosis techniques and condition monitoring in electrical systems.

Profile

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Dr. Faiz is a highly cited researcher with numerous influential publications. His work has appeared in leading journals such as IEEE Transactions and IET. Notably, he has authored papers on fault diagnosis in motors, stator current monitoring, and advanced diagnostic techniques. His research is recognized globally, and he is listed among the top 1% of scientists in his field.

Education

Dr. Faiz holds a Ph.D. in Electrical Engineering from the University of Newcastle upon Tyne, UK, awarded in June 1988. He completed his M.Sc. and B.Sc. in Electrical Engineering at the University of Tabriz, Iran, in July 1975 and November 1974, respectively.

Research Focus

Dr. Faiz’s research interests encompass the design and modeling of electrical machines, including induction generators and switched reluctance machines. His work also focuses on fault diagnosis, condition monitoring, and energy recovery in motors. He has developed advanced techniques for detecting faults and optimizing performance in electric vehicles, transformers, and other electrical systems.

Professional Journey

Dr. Faiz has held numerous academic and administrative positions throughout his career. He served as Director of Educational Affairs and Dean of the Faculty of Engineering at the University of Tabriz. At the University of Tehran, he has been Vice-Dean of Graduate Studies and Director of the Center of Excellence on Applied Electromagnetic Systems. His leadership has greatly contributed to the development of research and educational programs in electrical engineering.

Honors & Awards

Dr. Faiz has received numerous accolades for his contributions to engineering and research. These include the Kharazmi International Festival 1st Prize for Basic Research (2007), the Einstein Golden Model Award from UNESCO (2007), and multiple awards from the University of Tehran for his research and book publications. He is also recognized as a Distinguished Researcher and Elite Professor by various Iranian institutions.

Publications Noted & Contributions

Dr. Faiz has authored and co-authored several significant books and papers in his field. His notable publications include “Electronic Tap-changer for Distribution Transformers” and “Fault Diagnosis of Induction Motors.” His translations of key electrical engineering texts into Persian have made substantial contributions to the academic resources available in Iran.

Research Timeline

Dr. Faiz’s research has evolved from foundational studies in electrical machines to advanced diagnostic techniques and modeling of electrical systems. His work has progressively addressed critical challenges in fault detection and energy efficiency, reflecting the advancements in electrical engineering over the decades.

Collaborations and Projects

Throughout his career, Dr. Faiz has collaborated with leading researchers and institutions globally. His projects often involve multi-disciplinary approaches, combining theoretical modeling with practical applications to address complex issues in electrical engineering. His collaborations have significantly enhanced the scope and impact of his research.

Publications

  1. Static-, Dynamic-, and Mixed-Eccentricity Fault Diagnoses in Permanent-Magnet Synchronous Motors
    Authors: BM Ebrahimi, J Faiz, MJ Roshtkhari
    Journal: IEEE Transactions on Industrial Electronics
    Year: 2009
    Volume and Pages: 56 (11), 4727-4739
    Citations: 404
    This paper presents methods for diagnosing various types of eccentricity faults (static, dynamic, and mixed) in permanent-magnet synchronous motors (PMSMs). The focus is on the diagnostic techniques used to identify these faults and their impact on motor performance.
  2. Advanced Eccentricity Fault Recognition in Permanent Magnet Synchronous Motors Using Stator Current Signature Analysis
    Authors: BM Ebrahimi, MJ Roshtkhari, J Faiz, SV Khatami
    Journal: IEEE Transactions on Industrial Electronics
    Year: 2013
    Volume and Pages: 61 (4), 2041-2052
    Citations: 281
    This paper improves upon the fault recognition techniques for PMSMs, particularly focusing on advanced methods for detecting eccentricity faults using stator current signature analysis. It highlights the effectiveness of this approach in identifying fault conditions.
  3. Dissolved Gas Analysis Evaluation in Electric Power Transformers Using Conventional Methods: A Review
    Authors: J Faiz, M Soleimani
    Journal: IEEE Transactions on Dielectrics and Electrical Insulation
    Year: 2017
    Volume and Pages: 24 (2), 1239-1248
    Citations: 241
    This review paper evaluates conventional methods for dissolved gas analysis (DGA) in electric power transformers. It discusses various techniques and their effectiveness in assessing transformer health and diagnosing faults.
  4. Extension of Winding Function Theory for Nonuniform Air Gap in Electric Machinery
    Authors: J Faiz, I Tabatabaei
    Journal: IEEE Transactions on Magnetics
    Year: 2002
    Volume and Pages: 38 (6), 3654-3657
    Citations: 218
    This paper extends the winding function theory to account for nonuniform air gaps in electric machinery. The extension provides more accurate modeling of electrical machines, improving the understanding and analysis of their performance.
  5. Feature Extraction for Short-Circuit Fault Detection in Permanent-Magnet Synchronous Motors Using Stator-Current Monitoring
    Authors: BM Ebrahimi, J Faiz
    Journal: IEEE Transactions on Power Electronics
    Year: 2010
    Volume and Pages: 25 (10), 2673-2682
    Citations: 217
    This paper discusses methods for feature extraction aimed at detecting short-circuit faults in PMSMs by monitoring stator currents. It emphasizes the use of current monitoring techniques to enhance fault detection capabilities.
  6. Finite-Element Transient Analysis of Induction Motors Under Mixed Eccentricity Fault
    Authors: J Faiz, BM Ebrahimi, B Akin, HA Toliyat
    Journal: IEEE Transactions on Magnetics
    Year: 2007
    Volume and Pages: 44 (1), 66-74
    Citations: 213
    This paper utilizes finite-element transient analysis to study induction motors affected by mixed eccentricity faults. The analysis provides insights into the performance and behavior of motors under these fault conditions.
Strength for Best Researcher Award
  1. Innovative Fault Diagnosis Techniques
    Dr. Faiz has pioneered advanced methods for diagnosing eccentricity faults in permanent-magnet synchronous motors and other electrical systems. His innovative approaches have significantly improved fault detection and system reliability.
  2. High Citation Impact
    His publications, including influential papers on fault diagnosis and current signature analysis, have garnered substantial citations, highlighting the impact and relevance of his research in the field.
  3. Comprehensive Research Focus
    Dr. Faiz’s research encompasses a broad range of topics, from the design and modeling of electrical machines to fault diagnosis and energy recovery. This wide-ranging expertise contributes to a holistic understanding of electrical systems.
  4. Educational Contributions
    His role in educating and mentoring students and professionals in electrical engineering has been pivotal. His teaching and publications have enriched academic resources and advanced knowledge in his field.
  5. Recognition and Awards
    Dr. Faiz’s numerous accolades, including the Kharazmi International Festival 1st Prize and the Einstein Golden Model Award, reflect his esteemed position in the research community and his contributions to advancing electrical engineering.

Areas for Improvement

  1. Broader Interdisciplinary Collaboration
    While Dr. Faiz has collaborated with many researchers, expanding his interdisciplinary partnerships could further enhance the application and impact of his work across different fields.
  2. Increased Focus on Emerging Technologies
    Emphasizing emerging technologies such as renewable energy systems and smart grids could align his research with current and future industry trends, ensuring its continued relevance.
  3. Publication in Newer High-Impact Journals
    Publishing in newer or more diverse high-impact journals could broaden the reach of his research and attract attention from a wider audience within and outside the electrical engineering community.
  4. Enhanced Industry Engagement
    Strengthening ties with industry stakeholders and participating in industry-driven projects could facilitate practical applications of his research and drive innovation in real-world scenarios.
  5. Development of Advanced Research Tools
    Investing in the development or adoption of advanced research tools and methodologies could enhance the precision and scope of his studies, leading to more robust and comprehensive findings.

Conclusion

Dr. Jawad Faiz’s distinguished career is marked by his significant contributions to electrical engineering, particularly in fault diagnosis and machine modeling. His research has had a profound impact, evidenced by high citation rates and prestigious awards. Despite his many strengths, there is room for growth in areas such as interdisciplinary collaboration and industry engagement. Addressing these areas could further amplify his research impact and align it with contemporary technological advancements, ensuring continued relevance and innovation in the field.

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