NDLI: A new approach for real time fault diagnosis in induction motors based on vibration measurement

Content Provider	IEEE Xplore Digital Library
Author	da Costa, C. Mathias, M.H. Ramos, P. Girao, P.S.
Copyright Year	2010
Description	Author affiliation: Faculty of Engineering - Department of Mechanical, UNESP-Universidade Estadual Paulista Julio de Mesquita, Filho, Guaratingueta, São Paulo, Brasil (da Costa, C.; Mathias, M.H.) \|\| Department of Electrical and Computer Engineering, Instituto de Telecomunicações, Instituto Superior Tecnico, Universidade Técnica de Lisboa, Portugal (Ramos, P.; Girao, P.S.)
Abstract	Condition monitoring is used to increase machinery availability and machinery performance, reducing consequential damage, increasing machine life, reducing spare parts inventories, and reducing breakdown maintenance. An efficient real time vibration measurement and analysis instruments is capable of providing warning and predicting faults at early stages. In this paper, a new methodology for the implementation of vibration measurement and analysis instruments in real time based on circuit architecture mapped from a MATLAB/Simulink model is presented. In this study, signal processing applications such as FIR filters and fast Fourier transform are treated as systems, which are implemented in hardware using a system generator toolbox, which translates a Simulink model in a hardware description language - HDL for FPGA implementations.
Starting Page	1164
Ending Page	1168
File Size	1048579
Page Count	5
File Format	PDF
ISBN	9781424428328
ISSN	10915281
DOI	10.1109/IMTC.2010.5488039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Induction motors Vibration measurement Machinery Instruments Mathematical model Hardware design languages Condition monitoring Availability Electric breakdown FPGA Rotating electrical machine Fault Diagnostic Vibration Digital signal processing
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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