Biography: Xiyuan Chen received the Ph.D. degree in precision instrument and machinery from Southeast University, Nanjing, China, in 1998.,He is currently a Professor with the School of Instrument Science and Engineering, Southeast University. His research interests include fiber-optic sensors, inertial navigation, GNSS software receiver and wireless location technologies, integrated navigation, and related application.
Speech Title: The Key Technologies of MEMS/RFOG Robust Navigation Under Complex Environments
Abstract: MEMS/RFOG robust navigation methods under complex environment are discussed in the speech. The trend of integrated navigation is introduced with development of GNSS and inertial navigation. From robustness enhancement of the inertial measurement unit and filtering technology of integrated navigation, robust design of MEMS/RFOG is presented and filtering robustness during three phases including coarse alignment, fine alignment and long duration navigation is discussed, and finally future work is introduced.
Biography: Dapeng Tan received the Ph.D. degree from the College of Mechanical and Energy Engineering (CMEE), Zhejiang University at Hangzhou in 2008. Since 2008, he has been with the Key Laboratory of E&M (Zhejiang University of Technology), Ministry of Education & Zhejiang Province, as a lecturer, and became a professor in 2015. He has published more than 140 papers and gained more than 100 Chinese invention patents. He performed research in the areas of embedded system technology, vibration engineering & noise control, nonlinear signal processing and process equipment & control engineering. His research interests include soft sensing systems, dynamical pattern recognition and industrial process monitoring & diagnosis.
Speech Title: Intelligent Elasticity Hybrid-Cloud Architecture and Hard Real-Time Service Technologies for Discrete Manufacturing
Abstract: Manufacturing informatization is a key component of China’s strategy for integrating industrialization and informatization, yet it faces challenges such as instability under hybrid concurrent workloads, cross-domain exceptions causing service unavailability, and the inability to achieve hard real-time deployment. To address these issues, this work advances adaptive concurrency fluctuation suppression, cloud-native geo-redundant fault tolerance, and automatic equipment-hosted hot deployment, resulting in an independently developed hybrid-cloud intelligent elastic data integration platform and hard real-time service applications for discrete manufacturing.
Biography: His research interests include diagnosis and control, soft sensors, and their applications in offshore energy systems, power electronics, and electric vehicles. He was elevated to IEEE Fellow for contributions to real-time diagnosis and control for wind turbine systems in 2023. He was awarded the RAEng/Leverhulme Trust Research Fellowship devoting to real-time diagnosis and health management for wave energy conversion systems in 2024. He is also the Fellow of AAIA, Fellow of AIIA, and Fellow of HEA. He is currently the Co-EIC of IEEE Transactions on Industrial Informatics, and editorial board member of Renewable Energy (Elsevier).
Speech Title: Signal Reconstruction, Fault Diagnosis, and Signal Compensations Using Soft Sensors
Abstract: Hardware sensors are critical in industrial systems. However, hardware sensors are prone to faults or malfunctions due to age which may mislead the operators and controllers. Moreover, extra hardware sensors are not always available due to the cost or constraints in some practical scenarios. Therefore, there is a motivation to seek an alternative, that is called soft sensors. Soft sensors are a technique to reconstruct sensor signals and extract key information using measurement data. In this talk, model-based soft sensors (e.g. advanced observer techniques) and their applications in power converters and wave energy converters are introduced.
Biography: Lei Mao, Professor at Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China. Main research interest includes (1) Mechnism of performance failure and thermal runaway of electrochemical energy storage battery,(2) Battery state estimation and thermal runaway early warning techniques,(3)Early protection strategy for battery thermal runaway.Published over 95 SCI/EI indexed papers,authorized about 20 patent,and the research outputs have been applied in various energy storage scenarios.
Speech Title: Non-Invasive Measurement of Lithium-Ion Battery Pack Inconsistency Using External Magnetic Field
Abstract: With fast development of electric vehicle and energy storage system, the safety and durability of lithium-ion battery (LIB) receive much more attention. However, accurate and non-invasive measurement of LIB pack inconsistency still remains challenging. In this talk, LIB pack external magnetic field measurement and its inconsistency evaluation will be introduced.
