CARE to Compare: A real-world dataset for anomaly detection in wind turbine data

arXiv:2404.10320v1 Announce Type: new
Abstract: Anomaly detection plays a crucial role in the field of predictive maintenance for wind turbines, yet the comparison of different algorithms poses a difficult task because domain specific public datasets are scarce. Many comparisons of different approaches either use benchmarks composed of data from many different domains, inaccessible data or one of the few publicly available datasets which lack detailed information about the faults. Moreover, many publications highlight a couple of case studies where fault …

abstract algorithms anomaly anomaly detection arxiv benchmarks comparison cs.ai cs.lg data dataset datasets detection domain maintenance predictive predictive maintenance public role type wind wind turbines world