
Intelligent Machinery Fault Diagnostics and Prognostics
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Intelligent Machinery Fault Diagnostics and Prognostics: The Future of Smart Manufacturing uses an interdisciplinary approach to provide a well-rounded understanding of smart manufacturing. It discusses cutting-edge smart manufacturing technologies and encompasses various aspects, from sensors and data analytics to predictive maintenance. The book offers real-world case studies illustrating how these innovations are successfully implemented in industrial settings and includes practical guidelines and methodologies that facilitate the implementation of solutions.
The book also highlights the scalability and adaptability of this approach to different industries and manufacturing environments. Whether this book is for industry professionals, students, or researchers, readers can leverage the book's insights to optimize machinery performance, minimize downtime, reduce costs, and improve safety in their respective industries.
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Persons
Ankit Sharma serves as the Associate Director (Research) at the Centre for Research Impact and Outcome (CRIO), Chitkara University, Punjab, India. He earned his PhD in Mechanical Engineering from the prestigious Thapar Institute of Engineering and Technology, India. With over a decade of experience in academia, research, consultancy, training, and industry, Dr. Sharma has made significant contributions to his field. Dr. Sharma is actively involved in organizing the ICEMSMCI 2023 international conference, where he is the General Chair and Convenor. He has authored numerous publications in high-impact journals indexed by SCI, Scopus, and Web of Science, and has filed or published over 30 international patents. A dedicated scholar, he is the editor of several books on advanced manufacturing processes published by CRC Press, Taylor & Francis, and Elsevier, with more works in the pipeline. In addition, Dr. Sharma holds editorial positions for various international journals, including those published by Springer, Taylor & Francis, MDPI, and Chitkara University. Notably, he is the Managing Editor for AIP Conference Proceedings and serves as Series Editor for two prominent book series: Innovations in Smart Manufacturing for Long-Term Development and Growth (CRC Press) and Next Generation Manufacturing Processes (ASME). Dr. Sharma has been invited to deliver seminars and keynote talks at international conferences in the USA, China, and India. He has also received multiple Best Research Paper Awards and serves on the reviewer boards of several leading journals published by Elsevier, SAGE, Springer, Taylor & Francis, and MDPI.
Mohamad Abou Houran earned his B.S. degree in Electrical Engineering from Damascus University, Syria, in 2008. He received his M.Sc. and Ph.D. degrees in Electrical Engineering from Xi'an Jiaotong University (XJTU), China, in 2014 and 2020, respectively. In 2020, he joined XJTU as part of the prestigious Young Talent Program (at the Assistant professor Level), where he currently serves as an Associate Professor. To date, he has authored over 50 research articles in SCI-indexed journals, including more than 20 papers in JCR Q1 journals such as Applied Energy, Energy, Renewable Energy, ECM, and IEEE Transactions. He has also presented his work at leading international conferences, including APEC (USA) and ECCE (China, Japan, Korea). His research has been supported as a Principal Investigator (PI) by grants from the National Natural Science Foundation of China (NSFC), the Chinese Ministry of Science and Technology, and key R&D projects from Shaanxi Province. During his PhD, he received several awards, including Outstanding PhD Student of XJTU and the Bronze Award at the "China Internet+" College Students Innovation and Entrepreneurship Competition in 2019. In February 2022, he was elevated to IEEE Senior Member status. He also serves as a reviewer for several prestigious journals published by IEEE, IOP, and Elsevier. His research interests focus on Power Electronics, particularly in areas such as Wireless Power Transfer (WPT), Machine Learning, and Renewable Energy Technologies.
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