Report Title: Fault Diagnosis in the Era of Artificial Intelligence: From Wavelet Analysis to Trustworthy Deep Learning

Speaker: Yan Ruqiang, Professor, Doctoral Supervisor, and Director of the International Mechanical Center of the High-end Equipment Research Institute at Xi'an Jiaotong University

Affiliation: Xi'an Jiaotong University

Report Time: November 10, 2023 (Friday) 9:30-11:00

Report Location: B501 Conference Room, Jade Science and Education Building

Report Abstract:

With the expansion of deep learning application scenarios in the era of artificial intelligence, from natural language processing and search recommendations to industrial equipment health management, deep learning is facing a shift from performance-driven to risk-sensitive modes. When applied to industries and medical fields that are closely related to human life safety, a wrong diagnosis can lead to irreparable consequences. Therefore, a reasonable solution is to achieve interpretable and trustworthy deep learning. Signal processing, as an inductive priori starting from signal characteristics, has the advantages of well-developed theory, rich signal priors, and strong interpretability. Deep learning corresponds to the disadvantages of opaque algorithms, less signal analysis priors, and uninterpretable results. This report will briefly introduce some of our recent research work: how signal processing, especially wavelet analysis technology, empowers deep learning and applies it to intelligent diagnosis.

Speaker Introduction:

Yan Ruqiang, Professor, Doctoral Supervisor, and Director of the International Mechanical Center of the High-end Equipment Research Institute at Xi'an Jiaotong University, graduated from the Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, in May 2007, with a Ph.D. in Mechanical Engineering. He is engaged in the theoretical methods and engineering application research related to the intelligent operation and maintenance of major equipment, and has presided over key R&D projects of the Ministry of Science and Technology and key projects of the Natural Science Foundation. He is an IEEE Fellow, an ASME Fellow, enjoys special government allowances from the State Council, and is a candidate for the National Hundred, Thousand, and Ten Thousand Talents Project. He has won the first prize for technological invention in Shaanxi Province in 2020 (first completed), the first prize for natural science in the Ministry of Education in 2020 (second completed), the Technical Award of the IEEE Instrumentation and Measurement Society in 2019, and the Distinguished Service Award of the IEEE Instrumentation and Measurement Society in 2022. He has led the formulation of one IEEE international standard, published more than a hundred journal papers in IEEE and ASME journals, Mechanical Engineering, etc., and has written and edited one English monograph each. He is currently a Distinguished Lecturer of the IEEE Instrumentation and Measurement Society, and serves as the editor-in-chief of the international journal "IEEE Transactions on Instrumentation and Measurement", and an editorial board member of "Journal of Mechanical Engineering" English version, "Journal of Instruments and Instruments", and "Journal of University of Science and Technology of China".