Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios
Structural Health Monitoring (SHM) techniques are crucial for evaluating the condition of structures, enabling early maintenance interventions, and monitoring factors that could compromise structural integrity. Modal analysis studies the dynamic response of structures when subjected to vibrations, e...
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MDPI AG
2025-07-01
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| Online Access: | https://www.mdpi.com/2076-3417/15/15/8241 |
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| author | Leidy Esperanza Pamplona Berón Marco Claudio De Simone Domenico Guida |
| author_facet | Leidy Esperanza Pamplona Berón Marco Claudio De Simone Domenico Guida |
| author_sort | Leidy Esperanza Pamplona Berón |
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| description | Structural Health Monitoring (SHM) techniques are crucial for evaluating the condition of structures, enabling early maintenance interventions, and monitoring factors that could compromise structural integrity. Modal analysis studies the dynamic response of structures when subjected to vibrations, evaluating natural frequencies and vibration modes. This study focuses on detecting and comparing the natural frequencies of a 3-DoF structure under various excitation scenarios, including ambient vibration (in healthy and damaged conditions), two types of transient excitation, and three harmonic excitation variations. Signal processing techniques, specifically Power Spectral Density (PSD) and Continuous Wavelet Transform (CWT), were employed. Each method provides valuable insights into frequency and time-frequency domain analysis. Under ambient vibration excitation, the damaged condition exhibits spectral differences in amplitude and frequency compared to the undamaged state. For the transient excitations, the scalogram images reveal localized energetic differences in frequency components over time, whereas PSD alone cannot observe these behaviors. For the harmonic excitations, PSD provides higher spectral resolution, while CWT adds insight into temporal energy evolution near resonance bands. This study discusses how these analyses provide sensitive features for damage detection applications, as well as the influence of different excitation types on the natural frequencies of the structure. |
| format | Article |
| id | doaj-art-4ee19e979edd485aa84a0f1712d7e3db |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj-art-4ee19e979edd485aa84a0f1712d7e3db2025-08-20T04:00:50ZengMDPI AGApplied Sciences2076-34172025-07-011515824110.3390/app15158241Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation ScenariosLeidy Esperanza Pamplona Berón0Marco Claudio De Simone1Domenico Guida2Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, SA, ItalyDepartment of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, SA, ItalyDepartment of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, SA, ItalyStructural Health Monitoring (SHM) techniques are crucial for evaluating the condition of structures, enabling early maintenance interventions, and monitoring factors that could compromise structural integrity. Modal analysis studies the dynamic response of structures when subjected to vibrations, evaluating natural frequencies and vibration modes. This study focuses on detecting and comparing the natural frequencies of a 3-DoF structure under various excitation scenarios, including ambient vibration (in healthy and damaged conditions), two types of transient excitation, and three harmonic excitation variations. Signal processing techniques, specifically Power Spectral Density (PSD) and Continuous Wavelet Transform (CWT), were employed. Each method provides valuable insights into frequency and time-frequency domain analysis. Under ambient vibration excitation, the damaged condition exhibits spectral differences in amplitude and frequency compared to the undamaged state. For the transient excitations, the scalogram images reveal localized energetic differences in frequency components over time, whereas PSD alone cannot observe these behaviors. For the harmonic excitations, PSD provides higher spectral resolution, while CWT adds insight into temporal energy evolution near resonance bands. This study discusses how these analyses provide sensitive features for damage detection applications, as well as the influence of different excitation types on the natural frequencies of the structure.https://www.mdpi.com/2076-3417/15/15/8241ambient vibrationcontinuous wavelet transformharmonic excitationnatural frequenciespower spectral densitysensor placement |
| spellingShingle | Leidy Esperanza Pamplona Berón Marco Claudio De Simone Domenico Guida Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios Applied Sciences ambient vibration continuous wavelet transform harmonic excitation natural frequencies power spectral density sensor placement |
| title | Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios |
| title_full | Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios |
| title_fullStr | Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios |
| title_full_unstemmed | Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios |
| title_short | Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios |
| title_sort | application of signal processing techniques to the vibration analysis of a 3 dof structure under multiple excitation scenarios |
| topic | ambient vibration continuous wavelet transform harmonic excitation natural frequencies power spectral density sensor placement |
| url | https://www.mdpi.com/2076-3417/15/15/8241 |
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