Data Science and Analytics Seminar | Prognostic health management (PHM) and predictive maintenance (PdM) via off-line and on-line Data

Name: Data Science and Analytics Seminar | Prognostic health management (PHM) and predictive maintenance (PdM) via off-line and on-line Data
Start: 2023-04-13
End: 2023-04-13
Location: E1-134

2023 年 4 月 13 日

3:30pm - 5:00pm

E1-134

Zoom Meeting ID: 925 7587 4519 Passcode: 123456

Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：

Maintenance optimization for complex systems is an increasing critical issue in manufacturing industries. Using IoT and smart censors, engineers try to decide proper maintenance time points or intervals based on system condition. In this seminar, I introduce prognostic health management (PHM) and predictive maintenance (PdM) via off-line and on-line Data. Using off-line data, I present nonhomogeneous Poisson process modeling for repairable systems. I present condition based maintenance policy using signal processing and statistical process control techniques, based on on-line sensor data. Finally, I present several real case studies for PHM and PdM.

Zoom Meeting ID: 925 7587 4519 Passcode: 123456

活動形式

研討會, 演講, 講座

講者/ 表演者:

Prof Suk Joo BAE

Hanyang University, Korea

Dr. Suk Joo Bae is a Professor and Provost in Graduate School at Hanyang University, Seoul, Korea. Prof. Bae received his PhD. from the ISyE Department at Georgia Tech, 2003. Prof. Bae was the Editor-in-Chief of Journal of the Korean Society for Quality Management, The Journal of Applied Reliability, and the Associate Editor of IEEE Transactions on Reliability. Prof. Bae has published more than 100 journal papers including Technometrics, Journal of Quality Technology, Reliability Engineering & System Safety, IISE Transactions, and IEEE Transactions on Reliability.

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Data Science and Analytics Thrust, HKUST(GZ)

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