International audienceAbstract--Induction machines are widely used in industrial applications. Safety, reliability, efficiency and performance are major concerns that direct the research activity in the field of electrical machines. Though the induction machine is very reliable, many failures can occur such as bearing faults, air-gap eccentricity and broken rotor bars. Therefore, the challenge is to detect them at an early stage in order to prevent breakdowns. The purpose of this paper is to propose a new approach for fault detection based on the spectral subtraction. The technique effectiveness is demonstrated using simulation data issued from a coupled electromagnetic circuits approach and experiments in the case of bearing failures
International audienceIn recent years, marked improvement has been achieved in the design and manufa...
In this thesis, a signal processing-based approach for induction machine faults detection through st...
In this chapter, motor current signature analysis based on squared envelope spectrum is applied in o...
International audienceAbstract--Induction machines are widely used in industrial applications. Safet...
International audienceInduction machines are widely used in industrial applications. Safety, reliabi...
International audienceInduction machines are widely used in industrial applications. Safety, reliabi...
International audienceFault detection in squirrel cage induction machines based on stator current sp...
International audienceFault detection in squirrel cage induction machines based on stator current sp...
International audience—The main objective of this paper is to detect faults in induction machines us...
International audienceCurrent spectrum analysis is a proven technique for fault diagnosis in electri...
International audienceOver the past several decades, induction machine condition monitoring have rec...
International audienceThis paper aims to develop a condition monitoring architecture for induction m...
International audienceCondition monitoring of electric drives is of paramount importance since it co...
This paper deals with the application of motor current spectral analysis for the detection of rollin...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
International audienceIn recent years, marked improvement has been achieved in the design and manufa...
In this thesis, a signal processing-based approach for induction machine faults detection through st...
In this chapter, motor current signature analysis based on squared envelope spectrum is applied in o...
International audienceAbstract--Induction machines are widely used in industrial applications. Safet...
International audienceInduction machines are widely used in industrial applications. Safety, reliabi...
International audienceInduction machines are widely used in industrial applications. Safety, reliabi...
International audienceFault detection in squirrel cage induction machines based on stator current sp...
International audienceFault detection in squirrel cage induction machines based on stator current sp...
International audience—The main objective of this paper is to detect faults in induction machines us...
International audienceCurrent spectrum analysis is a proven technique for fault diagnosis in electri...
International audienceOver the past several decades, induction machine condition monitoring have rec...
International audienceThis paper aims to develop a condition monitoring architecture for induction m...
International audienceCondition monitoring of electric drives is of paramount importance since it co...
This paper deals with the application of motor current spectral analysis for the detection of rollin...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
International audienceIn recent years, marked improvement has been achieved in the design and manufa...
In this thesis, a signal processing-based approach for induction machine faults detection through st...
In this chapter, motor current signature analysis based on squared envelope spectrum is applied in o...