Semi-Automated Impact Device based on Human Behavior Recognition for ISMA
The Semi-Automated Impact Device based on Human Behavior Recognition for Impact Synchronous Modal Analysis (ISMA) is a system that combines human behavior recognition with impact testing to enhance the efficiency and accuracy of ISMA measurements.
About the Semi-Automated Impact Hammer
Impact Type Classification
Impact Time Prediction Before Impact
Motivation of This Research
Operator Fatigue and Human Factors
Impact testing can be physically demanding and repetitive for operators, leading to potential fatigue and decreased accuracy in impact execution. By automating the impact triggering process using human behavior recognition, the system reduces the operator's physical burden and minimizes the risk of human-induced errors. This improves the overall efficiency and reliability of ISMA measurements.
Improved Measurement Consistency
The manual nature of traditional impact testing in ISMA can introduce variations in impact parameters, such as force, location, and timing. By developing a semi-automated system based on human behavior recognition, the goal is to ensure consistent and repeatable impacts by minimizing operator-dependent variations. This enhanced measurement consistency leads to more reliable and accurate modal parameter identification.
Operator Safety
Impact testing involves physical interaction with the structure, which may pose certain safety risks for operators. By automating the impact triggering process, the semi-automated system can minimize the need for direct operator contact with the structure during impact tests, enhancing operator safety and reducing the potential for injuries.
Time Efficiency
Manual impact testing typically requires trial and error to achieve optimal impact parameters, resulting in time-consuming processes. The semi-automated approach aims to streamline the impact testing process by automatically triggering impacts based on human behavior recognition. This saves time and increases efficiency during data collection, allowing for more efficient modal analysis and reducing overall testing time.
Standardization and Reproducibility
The development of a semi-automated impact device based on human behavior recognition can contribute to standardizing the impact testing procedure in ISMA. By establishing consistent impact parameters across different tests and operators, the system enables better reproducibility of results. This is particularly important in research, where standardized procedures enhance the comparability of findings and promote the advancement of knowledge in the field.
Main Features of Semi-Automated Impact Device
Compensate Human Behaviour Randomness
By using EEG device and machine learning
Improved Accuracy
8.3% mean error in real-time ISMA
Reduced manual impacts
35-40% less number of impacts compared to random ISMA
Enhancement of Current ISMA Method
Has integrated AI methods to compensate human randomness and improve accuracy
Research Outputs
- Zahid, F. B., Ong, Z. C., Khoo, S. Y., & Salleh, M. F. M. (2023). Implementation of BCI based Semi-Automated Impact Device for Performing Impact Synchronous Modal Analysis. Measurement, 112454. https://doi.org/10.1016/j.measurement.2023.112454
- Zahid, F. B., Ong, Z. C., Khoo, S. Y., & Salleh, M. F. M. (2023). Semi-automated impact device based on human behaviour recognition model for in-service modal analysis. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 45(2), 16. https://doi.org/10.1007/s40430-023-04022-2
- Bin Zahid, F., Ong, Z. C., Khoo, S. Y., & Salleh, M. F. M. (2021). Inertial sensor based human behavior recognition in modal testing using machine learning approach. Measurement Science and Technology, 32(11), 18. https://doi.org/10.1088/1361-6501/ac1612
- Bin Zahid, F., Ong, Z. C., & Khoo, S. Y. (2020). A review of operational modal analysis techniques for in-service modal identification. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42(8), 18. https://doi.org/10.1007/s40430-020-02470-8
