Supplementary Material: Multivariate time-series data from a hydraulic test rig used for condition monitoring

This dataset contains multivariate time-series data from a hydraulic test rig used for condition monitoring and fault diagnosis. There are 2,205 operating cycles, and each one was recorded by several sensors that measured pressure, flow, temperature, vibration, and power at different rates. The target labels describe the condition of four hydraulic components: cooler, valve, pump, and accumulator, along with a stable-conditions flag. The dataset supports both classification and regression tasks and is widely used to evaluate data-driven diagnostic methods for complex industrial hydraulic systems.