Please use this identifier to cite or link to this item:
https://dspace.iiti.ac.in/handle/123456789/13178
Title: | Autometed methods for gearbox fault diagnosis using advanced signal processing techniques |
Authors: | Ramteke, Dada Saheb |
Supervisors: | Parey, Anand Pachori, Ram Bilas |
Keywords: | Mechanical Engineering |
Issue Date: | 15-Jan-2024 |
Publisher: | Department of Mechanical Engineering, IIT Indore |
Series/Report no.: | TH587; |
Abstract: | For mechanical power transmission, gears play an important role in this process. It is very incredibly cost-effective and efficient for power transmission. Gearboxes have a broad multitude of purposes and may be found in a wide variety of sectors, including the industries workshop, automobile sector, marine propulsion systems, the aviation sector, and many more. A malfunction in the gear train can not only lead to large financial losses but also has the potential to be lethal. Because of this, it is essential to locate a problem in a gearbox before it results in a breakdown of catastrophic proportions. Several different modes might cause a gear to fail, including fatigue, impact, wear, or plastic deformation. The most common cause of failure in gearing is fatigue. Where the fault is going to propagate, then the system generates the vibration. Further, gear failure occurred due to excessive vibration. Vibration measurement is an effective, non-intrusive, robust, economical method to monitor machine conditions during start-ups, shutdowns, and normal operation. |
URI: | https://dspace.iiti.ac.in/handle/123456789/13178 |
Type of Material: | Thesis_Ph.D |
Appears in Collections: | Department of Mechanical Engineering_ETD |
Files in This Item:
File | Description | Size | Format | |
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TH_587_Dada_Saheb_Ramteke_1601103002.pdf | 2.87 MB | Adobe PDF | View/Open |
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