@article {10.3844/ajassp.2009.1133.1138,
article_type = {journal},
title = {Condition Monitoring and Diagnosis of Faults in the Electric Induction Motor },
author = {Medoued, A. and Metatla, A. and Boukadoum, A. and Bahi, T. and Hadjadj, I.},
volume = {6},
year = {2009},
month = {Jun},
pages = {1133-1138},
doi = {10.3844/ajassp.2009.1133.1138},
url = {https://thescipub.com/abstract/ajassp.2009.1133.1138},
abstract = {Problem statement: The diagnosis of failures in the induction machine, when it is implemented effectively and whether it allows detecting early deterioration of the system, represents a means to help achieve better productivity. Approach: Primary purpose was to detect and locate a possible malfunction of equipments. In this study we developed a method using the three phase-biphase transformation (shape recognition), based on a two-dimensional representation of the three-phase components of the stator current and rotor flux. This approach was a static approach, considering the necessity to make several recordings of signals. Results: In this study we considered defect type in the induction machine with broken rotor bars. We presented signatures of the stator current and rotor flux for the healthy model complete and permanent regime, and then the signatures of the same quantities in continuous operation and complete regime for the model with short circuit and broken bars failure. Conclusion/Recommendation: Systems of diagnosis must be conceived to support many procedures of test starting ones the others and often functioning in parallel and different places.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}