Enhancement of impact synchronous modal analysis with brain-computer interface
Document Type
Article
Publication Date
1-1-2025
Abstract
Novel Impact Synchronous Modal Analysis (ISMA) suffers from inefficient operation. The Automated Phase Controlled Impact Device (APCID), a fully automated device, was developed to efficiently perform ISMA, however, the actuator, support structure and power supply of the APCID make it large, heavy, and unsuitable for commercial applications. The APCID can be replaced with manual operation while still using its controls but by nature there is randomness in human behaviour, which can greatly reduce the effectiveness of the APCID control scheme. A smart semi-automated device for imparting impacts is developed in this study, which uses Brain-Computer Interface (BCI) to predict impact time prior to impact. Brainwaves are measured using a portable, wireless and low-cost Electroencephalogram (EEG) device. Using brainwaves, a Machine Learning (ML) model is developed to predict the impact time. The ML model gave a Mean Absolute Percentage Error (MAPE) of 7.5% and 8% in evaluation (offline testing) and in real-time testing, respectively, while predicting impact time prior to impact using brainwaves. When integrated with the control of APCID to perform ISMA, the ML model gave a MAPE of 8.3% in real-time ISMA while predicting impact time prior to impact and adjusting the APCID control for the upcoming impact accordingly. To demonstrate the effectiveness of the EEG ML model in performing ISMA, modal testing was performed at 2 different operating speeds. The study concludes by comparing the developed ISMA method with other ISMA methods. The BCI based device developed in this study for performing ISMA outranks other ISMA methods due to its performance, efficiency and practicality.
Keywords
modal analysis, machine learning, brain computer interface (BCI), EEG, human behaviour, semi-automated device
Divisions
fac_eng,mechanical
Funders
Fundamental Research Grant Scheme by Ministry of Higher Education (FRGS/1/2022/TK10/UM/02/29),Science and Technology Development Fund (STDF) Ministry of Higher Education & Scientific Research (MHESR) Ministry of Higher Education, Research & Innovation, Oman (2024 (MG010-2024)),UM Matching,SD Advance Engineering Sdn,Universiti Malaya's Advanced Shock and Vibration Research
Publication Title
Measurement Science and Technology
Volume
36
Issue
1
Publisher
IOP Publishing
Publisher Location
TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND