In recent years, progress has been made in developing techniques to detect mechanical faults in actuators driven by induction motors. The latest developments show their capability to detect faults from the analysis of the motor electrical variables. The techniques are based on the analysis of the Motor Current Signature Analysis (MCSA) and the Load Torque Signature Analysis (LTSA), among others. Thus, failures such as misalignment between the motor and load, progressive gear teeth wear, and mass imbalances have been successfully detected. In case of misalignment between the motor and load, both angular and radial misalignment, the results presented in literature do not consider the characteristics of the coupling device. In this work, it is...
Mechanical imbalances are common mechanical faults in induction motors. Vibration monitoring techniq...
Electrical machines, induction motors in particular, play a key role in domestic and industrial appl...
International audienceElectrical and mechanical fault diagnosis in induction machines is an extensiv...
The study of the interaction between faults of different natures is a crucial step for the developme...
The effect of rotor faults, such as broken bars and end-rings, over the signals of a position estima...
Intensive research efforts have been focused on the Motor Current Signature Analysis (MCSA) in order...
Intensive research efforts have been focused on the Motor Current Signature Analysis (MCSA) in order...
In this project, two kinds of induction motor faults, stator short circuit fault and broken rotor ba...
Induction motors are essential components in the vast majority of industrial processes. The differen...
Motor current signature analysis (MCSA) is a method usually adopted to detect troubles in induction ...
Electric motors play an important role in industry, and the induction motors are the most widely use...
Motor current signature analysis (MCSA) is a method usually adopted to detect troubles in induction ...
Motor current signature analysis (MCSA) is a method usually adopted to detect troubles in induction ...
Motor current signature analysis (MCSA) is a method usually adopted to detect troubles in induction ...
Motor current signature analysis (MCSA) is a method usually adopted to detect troubles in induction ...
Mechanical imbalances are common mechanical faults in induction motors. Vibration monitoring techniq...
Electrical machines, induction motors in particular, play a key role in domestic and industrial appl...
International audienceElectrical and mechanical fault diagnosis in induction machines is an extensiv...
The study of the interaction between faults of different natures is a crucial step for the developme...
The effect of rotor faults, such as broken bars and end-rings, over the signals of a position estima...
Intensive research efforts have been focused on the Motor Current Signature Analysis (MCSA) in order...
Intensive research efforts have been focused on the Motor Current Signature Analysis (MCSA) in order...
In this project, two kinds of induction motor faults, stator short circuit fault and broken rotor ba...
Induction motors are essential components in the vast majority of industrial processes. The differen...
Motor current signature analysis (MCSA) is a method usually adopted to detect troubles in induction ...
Electric motors play an important role in industry, and the induction motors are the most widely use...
Motor current signature analysis (MCSA) is a method usually adopted to detect troubles in induction ...
Motor current signature analysis (MCSA) is a method usually adopted to detect troubles in induction ...
Motor current signature analysis (MCSA) is a method usually adopted to detect troubles in induction ...
Motor current signature analysis (MCSA) is a method usually adopted to detect troubles in induction ...
Mechanical imbalances are common mechanical faults in induction motors. Vibration monitoring techniq...
Electrical machines, induction motors in particular, play a key role in domestic and industrial appl...
International audienceElectrical and mechanical fault diagnosis in induction machines is an extensiv...