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Start Over Graduate Program Energy and Mineral Engineering Degree MS Committee Member Mort D Webster Author Last Name Ren

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Author:: Ren, Zihan
Title:: Application of Data Driven Machine Learning Methodologies for Predicting Reamining Useful Life of Equipment
Graduate Program:: Energy and Mineral Engineering
Keywords:: Machine Learning
Remaining useful life estimation
turbofan engine
Oil and gas equipment
File:: Download MS-thesis-ZihanRen.pdf
Committee Members:: Sanjay Srinivasan, Thesis Advisor/Co-Advisor
Mort D Webster, Committee Member
Eugene C Morgan, Committee Member
Sanjay Srinivasan, Program Head/Chair

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