Monitoring and Predicting Bearing Faults through Temperature, Ultrasonic, and Vibration Data
Open Access
Author:
Haver, John
Area of Honors:
Mechanical Engineering
Degree:
Bachelor of Science
Document Type:
Thesis
Thesis Supervisors:
Gary Hugo Koopmann, Thesis Supervisor Daniel Humberto Cortes Correales, Thesis Honors Advisor
Keywords:
bearing continuous monitoring vibration ultrasonic temperature grease
Abstract:
Bearings exist abundantly throughout many different industries, and they are an important part of how many vehicles, manufacturing machinery, and household appliances function. The failure of a single bearing can be critical to the successful operation of important machinery and can have catastrophic consequences due to the widespread nature of bearings in industry. However, by determining how to continuously assess the health of a bearing on a machine, there is great potential to increase the efficiency and service life of bearings. This thesis involves the study of lubrication-related faults, which is one of the most prevalent problems with ball bearings that lead to failure. The experiment involves the collection and analysis of temperature, ultrasonic, and vibration data for the testing of ball bearings under various grease conditions, including no grease, undergreased, normally greased, and overgreased. The aim of this experiment is to study the relationships between the sources of test data and the grease condition of a bearing, with aims of developing a model that can identify and predict lubrication-related faults.