1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Mechanical Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/299108
Title: A machine learning approach to fault diagnosis of self aligning carrying idlers in belt conveyor system
Researcher: Ravikumar S
Guide(s): Kanagasabathy
Keywords: Machine learning
Diagnosis
Conveyor
University: Anna University
Completed Date: 2019
Abstract: newline
Pagination: xxii,184xp.
URI: http://hdl.handle.net/10603/299108
Appears in Departments:Faculty of Mechanical Engineering

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01_title.pdf.pdfAttached File193.42 kBAdobe PDFView/Open
02_certificates.pdf.pdf748.3 kBAdobe PDFView/Open
03_abstracts.pdf.pdf124.49 kBAdobe PDFView/Open
04_acknowledgements.pdf.pdf7.09 kBAdobe PDFView/Open
05_contents.pdf.pdf18.99 kBAdobe PDFView/Open
06_list_of_tables.pdf.pdf5.22 kBAdobe PDFView/Open
07_list_of_figures.pdf.pdf11.44 kBAdobe PDFView/Open
08_list_of_abbreviations.pdf.pdf413.81 kBAdobe PDFView/Open
09_chapter1.pdf.pdf1.13 MBAdobe PDFView/Open
10_chapter2.pdf.pdf501.8 kBAdobe PDFView/Open
11_chapter3.pdf.pdf1.35 MBAdobe PDFView/Open
12_chapter4.pdf.pdf425.89 kBAdobe PDFView/Open
13_chapter5.pdf.pdf759.84 kBAdobe PDFView/Open
14_conclusion.pdf.pdf353.36 kBAdobe PDFView/Open
15_references.pdf.pdf395.69 kBAdobe PDFView/Open
16_list_of_publications.pdf.pdf338.41 kBAdobe PDFView/Open
80_recommendation.pdf328.63 kBAdobe PDFView/Open
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