Publication Date

2015

Document Type

Dissertation/Thesis

First Advisor

Gupta, Abhijit

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Mechanical Engineering

LCSH

Mechanical engineering; Machinery--Vibration; Manufacturing processes--Technological innovations; Machinery--Monitoring--Technological innovations

Abstract

Production and manufacturing technologies related companies are more and more opting for condition based maintenance of their machines. The condition based maintenance requires a monitoring system which collects the data from the machines through the sensors placed in them. This data can be analyzed for any deterioration of the components of the machine so the maintenance of those components can be done before catastrophic failure. Traditional approach of maintenance based on fixed time intervals may be cost ineffective. It may be noted that the trend of decreasing cost for sensors and data storage led to collection of inordinate amount of data. This posed the challenge of so called data analytics. This thesis involves data analytics for machinery condition monitoring. A machinery fault simulator instrumented with vibration sensors will be used to collect the data to be used for data analytics. NI LabVIEW and VisualBasic are mainly used for the analysis of the deteriorating performance of the components.

Comments

Advisors: Abhijit Gupta.||Committee members: Pradip Majumdar.

Extent

77 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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