Lisha Peng
Orcid: 0000-0002-7315-2692
According to our database1,
Lisha Peng
authored at least 26 papers
between 2018 and 2024.
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Bibliography
2024
Multiattribute Decision-Making in Wargames Leveraging the Entropy-Weight Method in Conjunction With Deep Reinforcement Learning.
IEEE Trans. Games, March, 2024
A Review on Concrete Structural Properties and Damage Evolution Monitoring Techniques.
Sensors, January, 2024
Rail Web Buried Defect Location and Quantification Methods in Hybrid High-Order Guided Wave Detection.
IEEE Trans. Instrum. Meas., 2024
2023
Quantification Method of Rail Web Buried Defect using Hybrid High-Order Guided Waves.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023
2022
Microcrack Defect Quantification Using a Focusing High-Order SH Guided Wave EMAT: The Physics-Informed Deep Neural Network GuwNet.
IEEE Trans. Ind. Informatics, 2022
Development of a Physics-Informed Doubly Fed Cross-Residual Deep Neural Network for High-Precision Magnetic Flux Leakage Defect Size Estimation.
IEEE Trans. Ind. Informatics, 2022
Three-way multi-attribute decision making under incomplete mixed environments using probabilistic similarity.
Inf. Sci., 2022
2021
Effective Focal Area Dimension Optimization of Shear Horizontal Point-Focusing EMAT Using Orthogonal Test Method.
IEEE Trans. Instrum. Meas., 2021
Development of Frequency-Mixed Point-Focusing Shear Horizontal Guided-Wave EMAT for Defect Inspection Using Deep Neural Network.
IEEE Trans. Instrum. Meas., 2021
A Simplified Lift-Off Correction for Three Components of the Magnetic Flux Leakage Signal for Defect Detection.
IEEE Trans. Instrum. Meas., 2021
A Characteristic Approximation Approach to Defect Opening Profile Recognition in Magnetic Flux Leakage Detection.
IEEE Trans. Instrum. Meas., 2021
Defect Detection and Identification of Point-Focusing Shear-Horizontal EMAT for Plate Inspection.
IEEE Trans. Instrum. Meas., 2021
Quantification of Defects with Point-Focusing Shear Horizontal Guided Wave EMAT Using Deep Residual Network.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021
Threat Assessment for Aerial Targets Based on Three-way Multi-criteria Decision Making.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021
An Improved MFL Method Fusing Multi-Space Magnetic Field Information for The Surface Defect Inspecting.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
High Precision Identification Method of Fan Main Shaft Defects Based on Rotating Magnetic Field Detection.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
Internal and External Defects Discrimination of Pipelines Using Composite Magnetic Flux Leakage Detection.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
2020
Mode Identification of Denoised SH Guided Waves Using Variational Mode Decomposition Method.
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020
Identifying Surface Defect Opening Profiles Based on the Uniform Magnetic Field Distortion.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
A New Dual Magnetic Sensor Probe for Lift-off Compensation in Magnetic Flux Leakage Detection.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2019
IEEE Trans. Instrum. Meas., 2019
A 3-D Pseudo Magnetic Flux Leakage (PMFL) Signal Processing Technique for Defect Imaging.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019
2018
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
Proceedings of the Fuzzy Systems and Data Mining IV, 2018