Electromagnetic Signal Analysis for Electrical Fault Diagnosis in Synchronous Generators

This study investigates the enhancement of fault diagnostics in synchronous generators by incorporating electromagnetic signal analysis with conventional diagnostic methodologies. The critical role of synchronous generators in maintaining power system stability and efficiency in industrial and power...

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Bibliographic Details
Published in:Electronics (Basel) 2024-08, Vol.13 (15), p.3078
Main Authors: Park, Junki, Harmony, Peter Nkwocha, Moon, Hyoungjun, Baek, Jeihoon
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Circuits
Coils (windings)
Cost analysis
Costs
Diagnostic systems
Efficiency
Electric power systems
Electrical faults
Electromagnetism
Energy industry
Fault detection
Fault diagnosis
Faults
Finite element method
Fourier transforms
Generators
Integrated approach
Magnetic fields
Magnetic flux
Maintenance and repair
Methods
Power plants
Rotors
Short circuits
Shutdowns
Signal analysis
Stators
Synchronous machines
Systems stability
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Summary:This study investigates the enhancement of fault diagnostics in synchronous generators by incorporating electromagnetic signal analysis with conventional diagnostic methodologies. The critical role of synchronous generators in maintaining power system stability and efficiency in industrial and power plant environments is underscored. Finite element modeling (FEM) is employed to simulate various fault conditions, such as stator and rotor winding faults. This study proposes a method that integrates stator current and stray magnetic flux analysis to identify five distinct types of short-circuit faults in stator and rotor windings, thereby enhancing the diagnostic capabilities for electrical faults in synchronous generators. This approach successfully identifies these electrical faults using non-invasive methods, offering a cost-effective solution that enhances fault detection. These findings are based on simulation results and serve as a preliminary stage for further validation through experimental studies. This integration is crucial for the development of efficient diagnostic systems that are capable of adapting to complex fault patterns, reducing human intervention, and streamlining maintenance operations, thus improving the reliability of synchronous generators globally.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics13153078