TY - GEN A1 - Jiang, Yuyao A1 - Knaack, Marcus A1 - Martin, Clas Aljoscha A1 - Tost, Frank A1 - Alimov, Artem A1 - Härtel, Sebastian A1 - Gardill, Markus T1 - A 120 GHz industrial radar sensor network for condition monitoring of a forging process T2 - IEEE sensors journal N2 - Current trends in forging technology emphasize increased automation and a rising demand for high-precision components. Among the key factors influencing the forging quality are process parameters, which also serve as indispensable inputs for data-driven modeling. This necessitates the establishment of a stable and robust sensor network to enable high-quality process monitoring. This study investigates the implementation of a heterogeneous sensor network within an energy-bound forging press, integrating industrial 120 GHz radar sensors for comprehensive data collection. A complete radar signal processing chain is developed, encompassing signal acquisition, pre-processing, and state estimation of the press ram. The validation against conventional reference sensors confirms the reliability and accuracy of the radar-based measurements. The results demonstrate the feasibility of the radar employment in the complex forging environment. KW - Sensor network KW - FMCW radar KW - Kalman filter KW - Process parameter KW - Condition monitoring KW - Hot forging Y1 - 2025 U6 - https://doi.org/10.1109/JSEN.2025.3636060 SN - 1558-1748 SP - 1 EP - 10 PB - IEEE CY - Piscataway, NJ ER -