Damage Identification in Rolling Element Bearings Using Topological Data Analysis
Offered By: Banach Center via YouTube
Course Description
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore damage identification techniques for rolling element bearings through the lens of topological data analysis in this 27-minute conference talk presented by Niklas Hellmer at the 51st Conference on Applications of Mathematics. Delve into advanced mathematical concepts as Hellmer, from the Institute of Mathematics of the Polish Academy of Sciences and Dioscuri Centre in TDA, demonstrates how topological methods can be applied to detect and analyze bearing faults. Gain insights into cutting-edge approaches that combine signal processing, data analysis, and topology to enhance predictive maintenance strategies in mechanical systems.
Syllabus
Damage identification in rolling element bearings using topological data analysis
Taught by
Banach Center
Related Courses
4.0 Shades of Digitalisation for the Chemical and Process IndustriesUniversity of Padova via FutureLearn A Day in the Life of a Data Engineer
Amazon Web Services via AWS Skill Builder FinTech for Finance and Business Leaders
ACCA via edX Accounting Data Analytics
University of Illinois at Urbana-Champaign via Coursera Accounting Data Analytics
Coursera