1. Shodhganga@INFLIBNET
  2. Sant Longowal Institute of Engineering and Technology
  3. Department of Mechanical Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/421004
Title: Fault diagnosis of hydraulic flow induced rotary systems using vibration signal processing and artificial intelligence
Researcher: Vashishtha, Govind
Guide(s): Kumar, Rajesh
Keywords: Engineering
Engineering and Technology
Engineering Mechanical
University: Sant Longowal Institute of Engineering and Technology
Completed Date: 2022
Abstract: Attached
Pagination: 284P.
URI: http://hdl.handle.net/10603/421004
Appears in Departments:Department of Mechanical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File30.19 kBAdobe PDFView/Open
02_prelim pages.pdf406.14 kBAdobe PDFView/Open
03_table of content.pdf117.22 kBAdobe PDFView/Open
04_abstract.pdf115.85 kBAdobe PDFView/Open
05_chapter 1.pdf340.43 kBAdobe PDFView/Open
06_chapter 2.pdf378.62 kBAdobe PDFView/Open
07_chapter 3.pdf812.67 kBAdobe PDFView/Open
08_chapter 4.pdf3.52 MBAdobe PDFView/Open
09_chapter 5.pdf3.43 MBAdobe PDFView/Open
10_chapter 6.pdf3.43 MBAdobe PDFView/Open
11_chapter 7.pdf1.02 MBAdobe PDFView/Open
12_annexure.pdf285.17 kBAdobe PDFView/Open
80_recommendation.pdf200.99 kBAdobe PDFView/Open
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