SUBJECT: M.S. Thesis Presentation
BY: Niklas Tritschler
TIME: Tuesday, July 2, 2019, 10:00 a.m.
PLACE: Love Building, 109
TITLE: Delevoping a Device for automatic Monitoring of Rolling Element Bearing Conditions
COMMITTEE: Dr. Thomas Kurfess, Chair (ME)
Dr. Christopher Saldana (ME)
Dr. Oliver Sawodny (Stuttgart)
Dr. Cristina Tarin (Stuttgart)


In most instances, rotating machines have a unique vibration signature that relates to their health status. Therefore, vibration analysis is a powerful tool for predictive maintenance. This is especially true for bearings that are a frequent cause of machine breakdown. Presently, bearing analysis of many machines results in significant cost and complexity due to a large amount of vibration data that must be analyzed. The purpose of this thesis is to develop a vibration analysis system that locally collects vibration data, analyzes it automatically and provides feedback as to the bearing condition.