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Real time implementation of empirical mode decomposition algorithm for ultrasonic nondestructive testing applications
Eaglekumar G Tarpara1, V H Patankar1
1Homi Bhabha National Institute (HBNI), Mumbai 400094, India.
The Review of Scientific Instruments
|January 3, 2019
Summary
A new real-time empirical mode decomposition (EMD) algorithm enhances ultrasonic non-destructive testing (NDT). This visual software implementation improves signal-to-noise ratio in noisy environments for better pulse-echo signal identification.
Area of Science:
- Engineering
- Signal Processing
- Materials Science
Background:
- Empirical Mode Decomposition (EMD) is challenging for real-time applications due to its data-driven nature and extensive computations.
- Non-destructive testing (NDT) using ultrasonic imaging requires efficient signal processing for accurate defect detection.
- Real-time signal analysis is crucial for improving the efficiency and reliability of NDT systems.
Purpose of the Study:
- To develop and implement a real-time Empirical Mode Decomposition (EMD) algorithm for ultrasonic non-destructive testing (NDT).
- To evaluate the performance of EMD with different interpolation methods (piecewise linear and cubic spline) for real-time processing.
- To demonstrate the effectiveness of the developed system in enhancing ultrasonic A-scan data resolution and signal-to-noise ratio.
Main Methods:
- Implementation of the EMD algorithm in a visual software environment.
- Comparison of piecewise linear interpolation (PLI) and cubic spline interpolation (CSI) methods for EMD.
- Utilizing the Thomas algorithm to solve the cubic spline tridiagonal matrix for real-time processing.
- Adoption of a partial reconstruction algorithm for signal filtering, including baseline correction and noise reduction.
Main Results:
- The time complexity for both PLI and CSI based EMD methods was computed, enabling real-time processing.
- The developed EMD-based visual software successfully performed baseline correction and noise filtering.
- Ultrasonic NDT experimentation validated the real-time practicability and efficiency of the method.
- Significant improvement in the time-domain resolution of ultrasonic A-scan raw data was achieved.
Conclusions:
- The real-time EMD algorithm provides an efficient solution for signal processing in ultrasonic NDT.
- The system effectively enhances the signal-to-noise ratio in noisy environments, improving visualization and identification of ultrasonic pulse-echo signals.
- This approach offers a practical and efficient method for real-time ultrasonic imaging and analysis in NDT applications.
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