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Filtering by: Committee Member Selker, John Committee Member Bay, Brian

Machine Learning Applied to Non-periodic Event Detection – A Special Case in Structural Health Monitoring

Creator:

Hu, Congcong

Abstract:

Structural Health Monitoring (SHM) is known as the process of implementation of damage detection and characterization strategy. The method is widely used in modern critical equipment to minimize the risk of failures. While a significant effort has been devoted by researchers for the detection of faults in situations including periodic...

Resource Type:

Dissertation
Learning approaches for the early detection of kickback in chainsaws

Creator:

Arnold, Drew D.

Abstract:

Among the many safety hazards facing chainsaw operators, the phenomenon known as kickback is the most dangerous. Kickback occurs when the chain at the tip of the chainsaw is caused to stop abruptly, and transfers the energy of the cutting chain to motion of the saw. The saw will rotate...

Resource Type:

Masters Thesis