Data sets from CPS for ML applications
The Hamburg AI Benchmark for Cyber-Physical Production Systems (HAI-CPPS) is a comprehensive dataset designed for evaluating AI models in the domains of anomaly detection, diagnosis, and reconfiguration for Cyber-Physical Production Systems (CPPS).
HAI-CPPS is structured as a benchmark comprising ten different scenarios of a modular process plant, each demonstrating various functionalities and complexities. This enables you to comprehensively test your algorithms not only on a single use-case, but systematically across increasingly complex examples within the same domain. Each scenario can feature multiple anomalies occurring within a single module or across multiple modules of the CPS.
| Title | Authors | Year |
|---|---|---|
| An AI benchmark for Diagnosis, Reconfiguration & Planning | Ehrhardt et al. | 2022 |
| HAI-CPPS: The Hamburg AI Benchmark for Cyber-Physical Production Sytems | Ehrhardt et al. | 2025 |
jonas.ehrhardt{@}hsu-hh.de