Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/137818
Title: | BEARING CONDITION MONITORING AND DIAGNOSIS THROUGH ARTIFICIAL INTELLIGENCE TECHNIQUES |
Researcher: | PATEL JIGNESH P. |
Guide(s): | DR. UPADHAYAY SANJAY H. |
University: | Ganpat University |
Completed Date: | 19/08/2016 |
Pagination: | |
URI: | http://hdl.handle.net/10603/137818 |
Appears in Departments: | Faculty of Engineering & Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
a. 1. title page color.pdf | Attached File | 193.31 kB | Adobe PDF | View/Open |
a. 4. table contents.pdf | 248.94 kB | Adobe PDF | View/Open | |
a. 5. table contents for figures and tables.pdf | 118.3 kB | Adobe PDF | View/Open | |
chap. 1 introduction.pdf | 332.17 kB | Adobe PDF | View/Open | |
chap. 2 literature review.pdf | 206.39 kB | Adobe PDF | View/Open | |
chap. 3 nonlinear mathamatics.pdf | 859.34 kB | Adobe PDF | View/Open | |
chap. 4. experimental work.pdf | 3.34 MB | Adobe PDF | View/Open | |
chap. 5. rsm.pdf | 817.43 kB | Adobe PDF | View/Open | |
chap. 6 bearing fault diagnosis.pdf | 1.12 MB | Adobe PDF | View/Open | |
chap. 7. conclusion.pdf | 162.32 kB | Adobe PDF | View/Open | |
references.pdf | 220.8 kB | Adobe PDF | View/Open |
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