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.
Highlights
With the development of the modern methods of the diagnosis in order, the state space modeling of the induction machine proves to be essential
The induction machines remains very appreciated in the industrial world because their applications requiring a higher dynamic performance
The techniques based on Luenberger and Kalman observers require a model of state of the induction machine
Summary
With the development of the modern methods of the diagnosis in order, the state space modeling of the induction machine proves to be essential. The control sensorless makes it possible to improve the robustness, the reliability of the machine and to reduce the cost of the systems. The induction machines remains very appreciated in the industrial world because their applications requiring a higher dynamic performance. The techniques based on Luenberger and Kalman observers require a model of state of the induction machine. We present a generalized state space of the induction machine in an arbitrary reference frame. A comparative study of the complete model and small-scale model are presented and the alternatives linear and nonlinear as well as the estimation possibility of the rotor resistance are discussed
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