Broken rotor bar detection in induction machines with transient operating speeds

By Hugh Douglas, Pragasen Pillay, A. K. Ziarani. IEEE transactions on energy conversion, 2005

169 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/daf8755e9d35e75698d63c1ad5419cfc03e1596f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Javier A. Rosero
2. A. Espinosa
3. Luís Romeral
4. Mahesh Krishnamurthy
5. Yao Da
6. Xiaodong Shi

In Electrical and Electronic Engineering

1. Javier A. Rosero
2. A. Espinosa
3. Luís Romeral

In Mechanical Engineering

1. Félix Martínez-Giménez
2. Alfredo Peris
3. Mahesh Krishnamurthy
4. Yao Da
5. Xiaodong Shi

Citations in the corpus

• Application and Optimization of the Discrete Wavelet Transform for the Detection of Broken Rotor Bars in Induction Machines (2006, background): “remarked [3].”
• Fault Detection in Induction Machines Using Power Spectral Density in Wavelet Decomposition (2008, methodology): “A new approach for the fault detection of a motor with broken rotor bars using the MCSA method and analyzing the start-up transient with discrete wavelet transform (DWT) is presented in [21].”