LAMAR dataset: run-to-failure experiments on rolling bearings

It provides experimental run-to-failure data of rolling bearings operating under controlled conditions. The main contribution of this dataset lies in providing high-quality degradation trajectories suitable for the development and validation of data-driven approaches for condition monitoring, fault diagnosis, and remaining useful life (RUL) prediction.

The dataset comprises vibration measurements from multiple experimental tests, encompassing different degradation dynamics and failure behaviors commonly encountered in rotating machinery applications.