Vibration Signature analysis of Centrifugal Pump through Pattern Recognition System

Vibration Signature analysis of Centrifugal Pump through Pattern Recognition System
Authors : Biruduganti. Rahul, B. Kishore , Mrs. Satyanrayana
Publication Date: 01-11-2014


Author(s):  Biruduganti. Rahul, B. Kishore , Mrs. Satyanrayana

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol. 3 - Issue 11 (November - 2014)

e-ISSN:   2278-0181


Shortcoming Detection in apparatus is carried out by standard condition observing and vibration examination. Programmed issue discovery strategies are dependable, quick and precise that can be connected to discover answers for various issues. Intelligent condition Monitoring System for flaw identification focused around dynamic Multilayer Feed Forward Neural Network is a computerized framework that recognizes blunders in hardware focused around prepared neural system model. The destination of the current examination is to acquaint a novel methodology with the vibration signature dissection of rotating machinery utilizing pattern recognition approach. This work utilizes the execution of Back propagation Neural Network in grouping the different hardware blames by utilizing the marks got from the vibration sensors. The system is powerfully created basing on the prerequisite of info and yield hubs and number of shrouded layers can be connected to various issues. The results are contrasted with manual estimations and found with be precise and dependable.


Number of Citations for this article:  Data not Available


Key Word(s):    


Number of Downloads:     401

7   Paper(s) Found related to your topic:    

Call for Papers - May - 2017



                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book