## 7 Conclusions  
The findings of this study underscore the potential for practical and cost-effective structural health monitoring through the use of single accelerometers. The remarkable performance achieved by models trained on data from individual accelerometers introduces a paradigm shift in the deployment of monitoring systems. While the comprehensive model trained on the entire dataset remains a valuable tool, the demonstrated efficacy of simplified monitoring set-ups using fewer sensors holds significant promise. The adaptability showcased in this research has far-reaching implications across various applications. In situations where resource constraints or retrofitting challenges pose limitations on deploying an extensive sensor network, the option of relying on strategically placed single accelerometers emerges as a viable and insightful alternative. This adaptability is particularly relevant in the context of existing structures, where the feasibility of retrofitting with modern sensor technology may be challenging. The cost-effectiveness and efficiency of models trained on single accelerometer data pave the way for new avenues in structural health monitoring. The ability to obtain meaningful insights with a reduced number of sensors addresses practical challenges and opens doors for broader implementation. This adaptability could be instrumental in various fields, ranging from civil engineering and infrastructure monitoring to historical building preservation. As we move forward, further research endeavors can delve into optimizing the integration of single accelerometers into structural health monitoring strategies. Exploring the optimal placement of these sensors and their combination with other non-intrusive sensing methods may enhance the overall accuracy and reliability of monitoring systems. This pursuit of efficiency aligns with the demand for accessible and practical solutions, particularly in scenarios where extensive sensor networks are not feasible. In conclusion, this study not only contributes valuable insights to the field of structural health monitoring but also encourages a shift toward more accessible and efficient solutions. The adaptability demonstrated in this research underscores the potential for single accelerometers to play a pivotal role in shaping the future landscape of structural health monitoring, making it more feasible and impactful in real-world applications. [PERSON] and [PERSON] contributed equally to the conceptualization and design of this study. [PERSON] conducted the material preparation, data collection, and analysis. The initial draft of the manuscript was crafted by [PERSON], with contributions from [PERSON], [PERSON] and [PERSON]. Subsequent versions were reviewed and commented on by all authors. The final version of the manuscript has been read and approved by all authors for publication. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Not applicable. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to continuing studies. The authors declare no conflicts of interest. **Appendix B**  
**Table A2. ** Hyperparameter optimization results for the model trained on acc\({}_{-}\)1.