Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/230543
Title: Machine Learning approach to fault diagnosis of roller bearings
Researcher: Sugumaran V
Guide(s): Ramachandran K.I
Keywords: Engineering and Technology,Engineering,Engineering Mechanical
Machine learning; Wear debris; Acoustic emission; fault diagnosis; Accelerometers; Wear ; vibration; Artificial neural networks (ANN);
University: Amrita Vishwa Vidyapeetham (University)
Completed Date: Nov 2007
Abstract: attached newline
Pagination: XII, 203
URI: http://hdl.handle.net/10603/230543
Appears in Departments:Department of Mechanical Engineering (Amrita School of Engineering)

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File186.97 kBAdobe PDFView/Open
02_dedicated.pdf51.85 kBAdobe PDFView/Open
03_certificate.pdf115.88 kBAdobe PDFView/Open
04_declaration.pdf127.79 kBAdobe PDFView/Open
05_table of contents.pdf777.69 kBAdobe PDFView/Open
06_acknowledgement.pdf366.59 kBAdobe PDFView/Open
07_list of figures.pdf1.04 MBAdobe PDFView/Open
08_list of tables.pdf113.13 kBAdobe PDFView/Open
09_list of symbols.pdf49.72 kBAdobe PDFView/Open
10_abstract.pdf290.78 kBAdobe PDFView/Open
11_chapter 1.pdf685.17 kBAdobe PDFView/Open
12_chapter 2.pdf1.32 MBAdobe PDFView/Open
13_chapter 3.pdf2.52 MBAdobe PDFView/Open
14_chapter 4.pdf760.83 kBAdobe PDFView/Open
15_chapter 5.pdf1.78 MBAdobe PDFView/Open
16_chapter 6.pdf877.86 kBAdobe PDFView/Open
17_chapter 7.pdf1.78 MBAdobe PDFView/Open
18_chapter 8.pdf1.43 MBAdobe PDFView/Open
19_chapter 9.pdf1.24 MBAdobe PDFView/Open
20_chapter 10.pdf846.46 kBAdobe PDFView/Open
21_chapter 11.pdf518.22 kBAdobe PDFView/Open
22_references.pdf866.67 kBAdobe PDFView/Open
23_appendix 1,2.pdf437.69 kBAdobe PDFView/Open
24_list of publications.pdf128.94 kBAdobe PDFView/Open


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