A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining
Ultrasonic Machining (USM) has broad applicability in numerous industrial fields. Accurate capture of ultrasonic vibration signals is pivotal to the functioning of USM, making them areas of significant research interest. However, the nonlinear and non-stationary nature of the USM vibration signal ma...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Systems and Soft Computing |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772941924000103 |
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| author | Honghuan Chen |
| author_facet | Honghuan Chen |
| author_sort | Honghuan Chen |
| collection | DOAJ |
| description | Ultrasonic Machining (USM) has broad applicability in numerous industrial fields. Accurate capture of ultrasonic vibration signals is pivotal to the functioning of USM, making them areas of significant research interest. However, the nonlinear and non-stationary nature of the USM vibration signal makes it unsuitable for analysis with conventional methods such as Fast Fourier Transform. Despite current methodologies like Discrete Wavelet Transformation (DWT) yielding valuable insights, they involve manual parameter selection and could lead to sub-optimal results. This paper presents a novel method, using Variational Mode Decomposition (VMD) to automatically decompose USM vibration signals into intrinsic mode functions (IMFs). This method is complemented by Particle Swarm Optimization (PSO) algorithm to optimize the number of IMFs and penalty factor, with Sample Entropy (SE) serving as a fitness function. The innovative SE-PSO-VMD method is validated in ultrasonic metal welding and demonstrates a notable ability in predicting the pull force of welding materials with a high coefficient of determination R2 value of 0.78. |
| format | Article |
| id | doaj-art-f7cedd332aaf4541ab404cc871cd140d |
| institution | OA Journals |
| issn | 2772-9419 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Systems and Soft Computing |
| spelling | doaj-art-f7cedd332aaf4541ab404cc871cd140d2025-08-20T01:58:30ZengElsevierSystems and Soft Computing2772-94192024-12-01620008110.1016/j.sasc.2024.200081A vibration signal processing method based on SE-PSO-VMD for ultrasonic machiningHonghuan Chen0College of Internet of Things Technology, Hangzhou Polytechnic, Hangzhou 311402, ChinaUltrasonic Machining (USM) has broad applicability in numerous industrial fields. Accurate capture of ultrasonic vibration signals is pivotal to the functioning of USM, making them areas of significant research interest. However, the nonlinear and non-stationary nature of the USM vibration signal makes it unsuitable for analysis with conventional methods such as Fast Fourier Transform. Despite current methodologies like Discrete Wavelet Transformation (DWT) yielding valuable insights, they involve manual parameter selection and could lead to sub-optimal results. This paper presents a novel method, using Variational Mode Decomposition (VMD) to automatically decompose USM vibration signals into intrinsic mode functions (IMFs). This method is complemented by Particle Swarm Optimization (PSO) algorithm to optimize the number of IMFs and penalty factor, with Sample Entropy (SE) serving as a fitness function. The innovative SE-PSO-VMD method is validated in ultrasonic metal welding and demonstrates a notable ability in predicting the pull force of welding materials with a high coefficient of determination R2 value of 0.78.http://www.sciencedirect.com/science/article/pii/S2772941924000103Ultrasonic machiningVibration signal processingVMDPSOSample entropy |
| spellingShingle | Honghuan Chen A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining Systems and Soft Computing Ultrasonic machining Vibration signal processing VMD PSO Sample entropy |
| title | A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining |
| title_full | A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining |
| title_fullStr | A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining |
| title_full_unstemmed | A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining |
| title_short | A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining |
| title_sort | vibration signal processing method based on se pso vmd for ultrasonic machining |
| topic | Ultrasonic machining Vibration signal processing VMD PSO Sample entropy |
| url | http://www.sciencedirect.com/science/article/pii/S2772941924000103 |
| work_keys_str_mv | AT honghuanchen avibrationsignalprocessingmethodbasedonsepsovmdforultrasonicmachining AT honghuanchen vibrationsignalprocessingmethodbasedonsepsovmdforultrasonicmachining |