Software & Data Downloads — ME-AD

The ME-AD (Mitsubishi Electric Anomaly Detection) dataset contains operating data of cyclic pick-and-place executions collected from a 6-DoF Mitsubishi Electric RV-7FM-D1-S15 manipulator under progressive actuation degradation. A defect was intentionally introduced in the actuator of joint 3 (removal of gearbox lubricant), causing gradual mechanical wear over pick-and-place cycles. Unlike existing robotics AD datasets where anomalies are artificially induced, ME-AD documents an actual progressive hardware fault, making it uniquely suited for benchmarking semi-supervised anomaly detection, online/early fault detection, and remaining useful life estimation.

Access data at https://doi.org/10.5281/zenodo.20817530.