Data Driven Approach to Non-stationary EMA Fault Detection and Investigation Into Remaining Useful Life

Craig, William S

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Rochester Institute of Technology

Data Driven Approach to Non-stationary EMA Fault Detection and Investigation Into Remaining Useful Life

dc:creator Craig, William S

thesis:degree_name Mechanical Engineering (MS)

Degree

thesis:*

Name thesis:degree_name: Mechanical Engineering (MS)
Level thesis:degree_level: Thesis

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Craig, William S
Contributors dc:contributor: Jason Kolodziej

Subjects

dc:subject × 3

Identifiers

dc:identifier.*

Repository record dc:identifier: https://repository.rit.edu/theses/8586
OAI identifier oai:identifier: oai:repository.rit.edu:theses-9743

Chain of custody

source

Harvested from: Rochester Institute of Technology
Base URL: repository.rit.edu/do/oai/
Last updated: 2026-07-27
Source record: OAI-PMH GetRecord

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citation

Craig, William S. Data Driven Approach to Non-stationary EMA Fault Detection and Investigation Into Remaining Useful Life. Thesis thesis, https://repository.rit.edu/theses/8586

Data Driven Approach to Non-stationary EMA Fault Detection and Investigation Into Remaining Useful Life

Degree

Author and committee

Subjects

Identifiers

Chain of custody

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