Al-Zuriqat, ThamerThamerAl-ZuriqatChillón Geck, CarlosCarlosChillón GeckDragos, KosmasKosmasDragosSmarsly, KayKaySmarsly2023-12-142023-12-142023-0740th International Conference on Computing in Construction and Summer School of CIB W78 (2023)https://hdl.handle.net/11420/44632Current fault diagnosis concepts in structural health monitoring (SHM) are limited by the sole consideration of single sensor faults, which does not fully capture the complexity of real-world faults in SHM systems. This work presents an adaptive fault diagnosis approach for SHM systems that addresses multiple sensor faults occurring simultaneously. The proposed approach, based on analytical redundancy, includes fault detection, isolation, and accommodation, and has been validated using real-world sensor data recorded from a railway bridge. The results show the high accuracy, reliability, and performance of the proposed approach regarding multiple sensor faults that occur simultaneously in realworld SHM systems.enBuilding, ConstructionConference Paper10.35490/EC3.2023.193Conference Paper