@misc{JiangKnaackMartinetal., author = {Jiang, Yuyao and Knaack, Marcus and Martin, Clas Aljoscha and Tost, Frank and Alimov, Artem and H{\"a}rtel, Sebastian and Gardill, Markus}, title = {A 120 GHz industrial radar sensor network for condition monitoring of a forging process}, series = {IEEE sensors journal}, journal = {IEEE sensors journal}, publisher = {IEEE}, address = {Piscataway, NJ}, issn = {1558-1748}, doi = {10.1109/JSEN.2025.3636060}, pages = {1 -- 10}, abstract = {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.}, language = {en} }