A Review of Techniques Used for Induction Machine Fault Modelling
Carla Terron-Santiago1, Javier Martinez-Roman1, Ruben Puche-Panadero1
1Institute for Energy Engineering, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
This review examines computer models for faulty induction machines (IMs), crucial for industrial reliability. These models help predict failures, reducing costly destructive testing and downtime.
Area of Science:
- Electrical Engineering
- Mechanical Engineering
- Industrial Automation
Background:
- Induction machines (IMs) are vital industrial components, acting as both motors and generators.
- Unexpected IM breakdowns cause significant economic losses due to unscheduled downtime.
- Economically unfeasible to study IM failures through destructive testing.
Purpose of the Study:
- To review and categorize existing computer modeling techniques for faulty induction machines.
- To provide insights into the benefits and drawbacks of different modeling approaches.
Main Methods:
- Review of literature on faulty IM modeling techniques.
- Categorization of models into electrical circuit-based, magnetic circuit-based, numerical method-based, and hybrid/FEM-based approaches.
Main Results:
- Identified four main categories of faulty IM models.
- Discussed the advantages and disadvantages of each model type concerning accuracy, computational time, and fault replication.
Conclusions:
- Faulty IM models are essential for understanding machine behavior and preventing failures.
- The choice of model depends on specific requirements for accuracy, speed, and fault simulation capabilities.
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