Industrial Centrifuge Condition Monitoring Dataset from Sulzer Centrifuge Unit at Arab Potash Company (Jordan): A One-Year Multisensor Time Series for Predictive Maintenance and Reliability Studies

This dataset contains one year (September 2022 – August 2023) of multisensor condition monitoring data collected from an industrial Sulzer centrifuge operating at the Arab Potash Company (APC) in Jordan. The data were acquired using an ABB 800xA Distributed Control System (DCS) with synchronized one-minute sampling intervals. Measurements include torque (% of nominal load), vibration velocity (mm/s RMS), and bearing temperatures at both solid and liquid ends (°C). The dataset comprises approximately 525,600 time-aligned observations per variable and reflects real industrial operating conditions, including natural load variations, seasonal thermal effects, and maintenance cycles. Preprocessing involved timestamp synchronization, duplicate removal, interpolation of short missing intervals, and range validation using plant-defined alarm thresholds (vibration ≥ 12 mm/s, torque ≥ 85%, temperature ≥ 85 °C). This dataset is intended for research in condition-based maintenance, prognostics and health management (PHM), predictive maintenance, digital twin modeling, reliability analysis, and industrial artificial intelligence. It complements the associated research article describing the data collection, vali