Martin Blödt - Academia.edu (original) (raw)

Papers by Martin Blödt

Research paper thumbnail of Maximum-Likelihood Parameter Estimation for Current-Based Mechanical Fault Detection in Induction Motors

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006

Research paper thumbnail of Detection of mechanical load faults in induction motors at variable speed using stator current time-frequency analysis

2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2005

Research paper thumbnail of Current Based Mechanical Fault Detection in Induction Motors through Maximum Likelihood Estimation

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, 2006

Research paper thumbnail of Distinguishing Load Torque Oscillations and Eccentricity Faults in Induction Motors Using Stator Current Wigner Distributions

Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting, 2006

This paper proposes a novel diagnosis method for detection and discrimination of two typical mech... more This paper proposes a novel diagnosis method for detection and discrimination of two typical mechanical failures in induction motors by stator current analysis: load torque oscillations and dynamic rotor eccentricity. A theoretical analysis shows that each fault modulates the stator current in a different way: torque oscillations lead to stator current phase modulation whereas rotor eccentricities produce stator current amplitude modulation. The use of traditional current spectrum analysis involves identical frequency signatures with the two fault types. A time-frequency analysis of the stator current with the Wigner distribution leads to different fault signatures that can be used for a more accurate diagnosis. The theoretical considerations and the proposed diagnosis techniques are validated on experimental signals

Research paper thumbnail of Mechanical Fault Detection in Induction Motor Drives through Stator Current Monitoring - Theory and Application Examples

Research paper thumbnail of Mechanical Load Fault Detection in Induction Motors by Stator Current Time-Frequency Analysis

IEEE Transactions on Industry Applications, 2000

Research paper thumbnail of On-Line Monitoring of Mechanical Faults in Variable-Speed Induction Motor Drives Using the Wigner Distribution

IEEE Transactions on Industrial Electronics, 2000

Research paper thumbnail of Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring

IEEE Transactions on Industrial Electronics, 2000

Research paper thumbnail of Maximum-Likelihood Parameter Estimation for Current-Based Mechanical Fault Detection in Induction Motors

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006

Research paper thumbnail of Detection of mechanical load faults in induction motors at variable speed using stator current time-frequency analysis

2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2005

Research paper thumbnail of Current Based Mechanical Fault Detection in Induction Motors through Maximum Likelihood Estimation

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, 2006

Research paper thumbnail of Distinguishing Load Torque Oscillations and Eccentricity Faults in Induction Motors Using Stator Current Wigner Distributions

Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting, 2006

This paper proposes a novel diagnosis method for detection and discrimination of two typical mech... more This paper proposes a novel diagnosis method for detection and discrimination of two typical mechanical failures in induction motors by stator current analysis: load torque oscillations and dynamic rotor eccentricity. A theoretical analysis shows that each fault modulates the stator current in a different way: torque oscillations lead to stator current phase modulation whereas rotor eccentricities produce stator current amplitude modulation. The use of traditional current spectrum analysis involves identical frequency signatures with the two fault types. A time-frequency analysis of the stator current with the Wigner distribution leads to different fault signatures that can be used for a more accurate diagnosis. The theoretical considerations and the proposed diagnosis techniques are validated on experimental signals

Research paper thumbnail of Mechanical Fault Detection in Induction Motor Drives through Stator Current Monitoring - Theory and Application Examples

Research paper thumbnail of Mechanical Load Fault Detection in Induction Motors by Stator Current Time-Frequency Analysis

IEEE Transactions on Industry Applications, 2000

Research paper thumbnail of On-Line Monitoring of Mechanical Faults in Variable-Speed Induction Motor Drives Using the Wigner Distribution

IEEE Transactions on Industrial Electronics, 2000

Research paper thumbnail of Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring

IEEE Transactions on Industrial Electronics, 2000