Accession Number : ADA614145


Title :   A Primer on Vibrational Ball Bearing Feature Generation for Prognostics and Diagnostics Algorithms


Descriptive Note : Final rept. Oct 2012-Sep 2013


Corporate Author : ARMY RESEARCH LAB ADELPHI MD SENSORS AND ELECTRON DEVICES DIRECTORATE


Personal Author(s) : Tom, Kwok F


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a614145.pdf


Report Date : Mar 2015


Pagination or Media Count : 54


Abstract : This report is the result of a prognostic and diagnostic program involving roller bearings. The objective of the effort was to develop techniques that could be used to detect the initial fault and predict the remaining useful life of a roller bearing. There are many techniques from digital signal processing, statistical, and machine learning fields that can be for fault detection and prediction. In this report, a description of roller bearing faults and life are presented. From this starting point, the report leads into various techniques that can be applied to vibrational data in order to generate features that can be used for fault detection. Feature generation is an important step in the prognostic and diagnostic development. This overview of possible features is intended to provide sufficient information to pursue feature selection and algorithm development for roller bearings prognostic and diagnostic techniques.


Descriptors :   *ROLLER BEARINGS , ALGORITHMS , BALL BEARINGS , DIGITAL SYSTEMS , FAULT DETECTION , LEARNING MACHINES , PRIMERS , SIGNAL PROCESSING , VIBRATION


Subject Categories : Machinery and Tools


Distribution Statement : APPROVED FOR PUBLIC RELEASE