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Updated: Jul 12, 2025

An Atmospheric Pressure Plasma Setup to Investigate the Reactive Species Formation
Published on: November 3, 2016
Instability and fault analysis of arc plasma using advanced signal processing methods.
Shakti Prasad Sethi1,2, Debi Prasad Das1,2, Santosh Kumar Behera1,2
1Process Engineering and Instrumentation Department, CSIR-Institute of Minerals and Material Technology, Bhubaneswar 751013, Odisha, India.
This study analyzes transferred arc plasma instabilities using advanced signal processing. Early detection of faults improves system reliability and efficiency in industrial applications.
Area of Science:
- Plasma Physics
- Signal Processing
- Industrial Applications
Background:
- Transferred arc plasma systems are crucial for material processing, metallurgy, and waste management.
- System instabilities and faults negatively affect performance and reliability.
- Advanced signal processing is needed to understand and mitigate these issues.
Purpose of the Study:
- To analyze instabilities and faults in transferred arc plasma.
- To develop a method for early detection of deviations and irregularities.
- To enhance the control and optimization of plasma processes.
Main Methods:
- Simultaneous recording of arc voltage, current, acoustic, optical, and spectroscopic signals.
- Application of advanced signal processing techniques: Lyapunov exponent, Fast Fourier Transform (FFT), Short-Time Fourier Transform (STFT), and Power Spectral Density (PSD).
- Multi-sensor signal analysis for identifying fault patterns.
Main Results:
- Characterization of transferred arc plasma instabilities under various experimental conditions.
- Identification of specific signal deviations indicative of fault events.
- Demonstration of multi-sensor data's utility in fault pattern recognition.
Conclusions:
- Advanced signal processing effectively identifies instabilities and faults in transferred arc plasma.
- Early fault detection enables timely corrective actions, preventing damage.
- This research contributes to improved efficiency and reliability of industrial plasma systems.
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