Automatic Online Diagnosis Algorithm for Broken-Bar Detection on Induction Motors Based on Discrete Wavelet Transform for FPGA Implementation

Ordaz-Moreno, A.; Romero-Troncoso, René de Jesús; Vite-Frias, Jose Alberto; Rivera-Gillen, J.R.; García-Pérez, Arturo

doi:10.1109/tie.2008.918613

Cited by 205 publications

(78 citation statements)

References 15 publications

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“…Wavelet Transform (WT) WT is used for extracting time-frequency information from time-dependent signals [7,8]. It is capable to give frequency decomposition of a signal through time by isolating its frequency evolution.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Real Time SOC Based Low Cost Smart Sensor Using DWT on FPGA

Mohan¹

2012

IJAREEIE

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ABSTRACT:In this world of fast growing technology all the monitoring systems require the features like high performance instrumentation, low-cost primary sensors, online signal processing, portability, and versatility. Introduction of smart sensor comes up with all these features. Commercially available monitoring equipment cannot easily achieve versatility and portability. But smart sensor approach will increase the performance and overcome costs in monitoring systems. They use standard off-the-shelf sensors and add signal processing, communication and integration capabilities in their functionality. This paper proposes implementation of real time system-on-chip (SOC) based smart sensor for time-frequency analysis of the signals like voltage, electric current and vibrations by applying discrete wavelet transform (DWT) on field programmable gate array(FPGA). The proposed smart sensor uses a proprietary hardware processing unit. This unit includes a multiplier accumulate unit (MAC) for computing real time discrete wavelet transform for all the input signals. The proposed designs of MAC uses a modified booth multiplier and carry save adder for area optimization and propagation delay. This design can connect to different primary sensors without additional instrumentation and shows obtained results in 2-D view on a video graphics array screen or liquid crystal display. For presentation purposes, hardware computed results will be sending to a PC through an RS232 interface and plotting in MATLAB. The SOC-based smart sensor module will be designing and developing in Xilinx 12.2 ISE using VHDL and simulating in Modelsim 6.3f.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Real Time SOC Based Low Cost Smart Sensor Using DWT on FPGA

Mohan¹

2012

IJAREEIE

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“…In the literature, time-frequency domain analyses based on wavelet-transform techniques have been investigated to overcome the resolution problem encountered in fault diagnostic analysis [10][11][12]. Wavelet-transform techniques, which are effective for stationary as well as nonstationary signal processing, provide a multiresolution signal analysis with high resolution in the time and frequency domains [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…Wavelet-transform techniques, which are effective for stationary as well as nonstationary signal processing, provide a multiresolution signal analysis with high resolution in the time and frequency domains [10][11][12]. An automatic online diagnosis algorithm for broken-rotor-bar detection has been proposed based on the wavelet-transform application to the start-up current transient [10].…”

Section: Introductionmentioning

confidence: 99%

“…Based on a continuous wavelet technique with frequency B-spline functions, a diagnosis method identifies as many BRB fault-related frequency components as possible during large transients [12]. Wavelet-transform techniques can be applied to detect faults during stationary and non-stationary conditions [10][11][12]. However, in stationary conditions, wavelet-transform techniques have the disadvantage in the frequency resolution compared to the subspace methods.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust Diagnosis Algorithm for Identifying Broken Rotor Bar Faults in Induction Motors

Hwang¹,

Youn²,

Sun³

et al. 2014

Journal of Electrical Engineering and Technology

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-This paper proposes a new diagnosis algorithm to detect broken rotor bars (BRBs) faults in induction motors. The proposed algorithm is composed of a frequency signal dimension order (FSDO) estimator and a fault decision module. The FSDO estimator finds a number of fault-related frequencies in the stator current signature. In the fault decision module, the fault diagnostic index from the FSDO estimator is used depending on the load conditions of the induction motors. Experimental results obtained in a 75 kW three-phase squirrel-cage induction motor show that the proposed diagnosis algorithm is capable of detecting BRB faults with an accuracy that is superior to a zoom multiple signal classification (ZMUSIC) and a zoom estimation of signal parameters via rotational invariance techniques (ZESPRIT).

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“…Como cada avería produce un efecto en una señal de descomposición distinta, las averías pueden ser detectadas de forma conjunta a través de un único análisis. Otros trabajos de investigación en los que se utiliza la DWT para el diagnóstico son [36], [37] y [38]. Tomando como base los artículos previamente comentados, en [36] se propone un algoritmo online automático para la detección de barras rotas en motores de inducción.…”

Section: En Launclassified

Metodología para el diagnóstico de averías en motores de inducción mediante el análisis de corrientes estatóricas transitorias utilizando átomos tiempo-frecuencia.

Llinares¹

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El trabajo del investigador, y del doctorando en particular, es esencialmente un trabajo en solitud, cuya intensidad sería por otra parte difícil de sobrellevar sin el apoyo de los directores de tesis. Recuerdo el primer artículo que escribí como primer autor, agotando, como siempre me sucede, el tiempo disponible para enviarlo. Y recuerdo a Martín, científico claro, calmado, reflexivo e incansable, ayudándome con ese artículo hasta el final, marchándose entrada la noche, cuando por fin estaba ya todo claro. Por su parte, José Alfonso, investigador prolífico, constante y resolutivo, me ha marcado y recordado en cada momento los pasos a seguir, erigiéndose en modelo reciente. En definitiva, les agradezco a mis dos directores de tesis, Dr. Martín Víctor Riera Guasp y Dr. José Alfonso Antonino Daviu, toda la dedicación prestada: su constante disponibilidad para escuchar mis ideas y analizarlas, realizando comentarios siempre positivos, animándome, corrigiendo con esmero mi trabajo, rectificando todo lo necesario y a la vez respetando el enfoque singular que permite que la tesis sea propia de su autor.De la misma forma que se necesitan a los directores y compañeros que te ayudan desde dentro, desde la comprensión de tu investigación, resultan también fundamentales ésas personas que te ayudan desde fuera, ésas personas que sin poder estar donde tú estás, están: mi familia, mis padres y mi hermano, quienes me han ayudado a salvar las dificultades, escuchando, infundiendo calma y dando los consejos precisos en los momentos difíciles, así como compartiendo la alegría por los éxitos.Y finalmente, Verónica, que al igual que en todas las facetas de esta vida que compartimos, me ha acompañado apasionada, escuchando, como si de su campo se tratara, las ideas que yo he ido trabajando, tratando de entender los fundamentos de esta metodología de diagnóstico de máquinas eléctricas que aquí se presenta.Dedico esta tesis a mi tía, Ángela Llinares Llorca, quien me transmitió su vitalidad, sus valores, su curiosidad y su pasión por la ciencia.

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Automatic Online Diagnosis Algorithm for Broken-Bar Detection on Induction Motors Based on Discrete Wavelet Transform for FPGA Implementation

Cited by 205 publications

References 15 publications

Real Time SOC Based Low Cost Smart Sensor Using DWT on FPGA

Real Time SOC Based Low Cost Smart Sensor Using DWT on FPGA

Robust Diagnosis Algorithm for Identifying Broken Rotor Bar Faults in Induction Motors

Metodología para el diagnóstico de averías en motores de inducción mediante el análisis de corrientes estatóricas transitorias utilizando átomos tiempo-frecuencia.

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