Search results for " stator current"

showing 3 items of 3 documents

On the Detection of Distributed Roughness on Ball Bearings Via Stator Current Energy: Experimental Results

2009

ANOVADistributed roughness ball bearing stator currentdistributed roughnessbearing diagnostics; distributed roughness; ANOVA; GLM; induction motorGLMbearing diagnostics distributed roughness ANOVA GLM induction motorbearing diagnosticsinduction motor
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Sensorless control of permanent magnet synchronous motors for wide speed range applications

2006

This paper deals with sensorless control of Interior Permanent Magnet Synchronous Motors (IPMS) based on the estimation of speed and rotor angular position. The above estimate is based on the injection of high frequency stator currents able to generate a signal similar to that generated by a resolver connected to the axis of the motor. A new digital algorithm has been designed to demodulate the above signal whose implementation can be carried out on the same DSP that processes the control algorithm. In this paper a new scheme of speed and angular position estimator is proposed and justified on the theoretic point of view. The experimental results here shown validate the effectiveness of the…

business.industryRotor (electric)Computer scienceStatorAngular displacementSensorless controlSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciFrequency stator currentlaw.inventionSettore ING-INF/04 - AutomaticaControl theorylawDigital algorithmResolverElectronic engineeringTorquebusinessSynchronous motorDigital signal processingMachine control
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Fault diagnosis of induction motors broken rotor bars by pattern recognition based on noise cancelation

2014

Current signal monitoring (CSM) can be used as an effective tool for diagnosing broken rotor bars fault in induction motors. In this paper, fault diagnosis and classification based on artificial neural networks (ANNs) is done in two stages. In the first stage, a filter is designed to remove irrelevant fault components (such as noise) of current signals. The coefficients of the filter are obtained by least square (LS) algorithm. Then by extracting suitable time domain features from filter's output, a neural network is trained for fault classification. The output vector of this network is represented in one of four categories that includes healthy mode, a 5 mm crack on a bar, one broken bar, …

removing irrelevant fault componentsEngineeringArtificial neural networkneural networkRotor (electric)Bar (music)business.industryComputer Science::Neural and Evolutionary ComputationFilter (signal processing)Fault (power engineering)law.inventionNoisefault diagnosis and classificationControl and Systems Engineeringlawfault diagnosis and classification; neural network; removing irrelevant fault components; Stator current signal monitoring; Electrical and Electronic Engineering; Control and Systems EngineeringElectronic engineeringTime domainElectrical and Electronic EngineeringStator current signal monitoringbusinessAlgorithmInduction motor2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)
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