Skip to Main Content
Frequently Asked Questions
Submit an ETD
Global Search Box
Need Help?
Keyword Search
Participating Institutions
Advanced Search
School Logo
Files
File List
ChenXiaoming1997 mt.pdf (3.03 MB)
ETD Abstract Container
Abstract Header
The development of a parameter estimation tool towards fault diagnosis
Author Info
Chen, Xiaoming
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1399563299
Abstract Details
Year and Degree
1997, Master of Science, Ohio State University, Nuclear Engineering.
Abstract
Parameter estimation techniques are commonly used for fault diagnosis, system identification, control and signal processing. Recently, a new approach has been proposed that is numerically efficient and allows assigning probability to parameters being in user specified intervals and hence is suitable for on-line fault diagnoses in non-linear dynamic systems. This thesis presents the design and implementation of the software package that simplifies the application of the new approach to a given system.
Committee
Tunc Aldemir (Advisor)
Pages
96 p.
Subject Headings
Nuclear Engineering
Recommended Citations
Refworks
EndNote
RIS
Mendeley
Citations
Chen, X. (1997).
The development of a parameter estimation tool towards fault diagnosis
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1399563299
APA Style (7th edition)
Chen, Xiaoming.
The development of a parameter estimation tool towards fault diagnosis.
1997. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1399563299.
MLA Style (8th edition)
Chen, Xiaoming. "The development of a parameter estimation tool towards fault diagnosis." Master's thesis, Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1399563299
Chicago Manual of Style (17th edition)
Abstract Footer
Document number:
osu1399563299
Download Count:
149
Copyright Info
© 1997, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.