Performance, cost, and risk
What are the performance, cost, and risk impacts of implementing this product?
- Performance: Enables the generation of diverse, high-quality run-to-failure datasets for bearings under configurable operational circumstances. Supports validation and bench-marking of predictive maintenance algorithms.
- Cost: Operational costs for personnel, test samples, and facility usage.
- Risk: Incomplete coverage if not all failure modes are replicated. Technical failures in the sensor/data chain.
Implementation requirements
What capabilities would a business/organization/institution need to have to implement this product?
- Processes: Experiment planning and execution and data validation procedures for running bearing degradation tests and logging failures.
- Resources: Technical staff, operational budget, bearing samples, sensor modules, and data storage IT infrastructure.
- Competences: Expertise in test rig operation, experimental design, and data management
- Technologies: Physical bearing test rig with advanced sensor platform (piezo sensors, FBGs, ultrasound, RPM, temperature modules) and digital data acquisition systems
Related works
- Van As (2025). Change Point Detection Algorithms for Identifying Bearing Damage Onset.
- Priem (2025). Data Formats and Storage Solutions for Bearing Test System.
Contact information
For further inquiries regarding this product, feel free to get in touch with:
- Sam Aerts, The Hague University of Applied Sciences. s [dot] h [dot] aerts [at] hhs [dot] nl




