Time-Series Data Analytics in Cyber-Physical Systems: Validating Predictive Models on Physical Industrial Hardware
To bridge this “simulation-to-reality” gap, engineering and data science faculties require physical, research-grade infrastructure capable of generating complex, real-world data streams. Utilizing a physical PLC process control workstation as a data-generation engine allows researchers to validate time-series analytics, test edge-computing architectures, and benchmark machine learning models against classical control loops under genuine operational conditions. 1. […]