Please use this identifier to cite or link to this item:
https://idr.l1.nitk.ac.in/jspui/handle/123456789/15164
Title: | Ball bearing fault diagnosis based on vibration signals of two stroke ic engine using continuous wavelet transform |
Authors: | Ravikumar K.N. Madhusudana C.K. Kumar H. Gangadharan, K.V. |
Issue Date: | 2020 |
Citation: | Lecture Notes in Mechanical Engineering , Vol. , , p. 381 - 391 |
Abstract: | Ball bearings are used in the different critical fields of engineering applications such as IC engine, centrifugal pump and fans. In IC engine, the ball bearing is one of the critical components and it takes various types of dynamic loads and stresses. Condition monitoring of such ball bearing is very significant to avoid the catastrophic failure of rotating components in IC Engine. This article describes the fault detection of roller ball bearing of an IC engine gearbox with the use of signal processing technique such as spectrum analysis and Continuous Wavelet Transform (CWT) analysis. Vibration signals of IC engine are used to identify the fault in the ball bearing and to detect the healthy and fault bearing conditions. © Springer Nature Singapore Pte Ltd 2020. |
URI: | https://doi.org/10.1007/978-981-15-5693-7_28 https://idr.nitk.ac.in/jspui/handle/123456789/15164 |
Appears in Collections: | 2. Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.