Print Email Facebook Twitter Reliability improvement of the dredging perception system Title Reliability improvement of the dredging perception system: A sensor fault-tolerant strategy Author Wang, Bin (Wuhan University of Technology; Politecnico di Milano; National Engineering Research Center for Water Transport Safety) Zio, Enrico (Politecnico di Milano; PSL Université MINES ParisTech, GRC, Sophia Antipolis) Chen, X. (TU Delft Offshore and Dredging Engineering) Zhu, Hanhua (Wuhan University of Technology; Ministry of Transport of the People's Republic of China) Guo, Yunhua (Wuhan University of Technology; Ministry of Transport of the People's Republic of China) Fan, Shidong (Wuhan University of Technology; National Engineering Research Center for Water Transport Safety) Date 2024 Abstract In the dredging industry, the automation and accuracy of the Dredging Perception System (DPS) are vital for operational efficiency and environmental safety. Current DPS implementations face challenges with sensor fault tolerance, leading to system unreliability and increased false alarm rates that can disrupt dredging operations. We propose a Hybrid Redundancy Sensor Fault Tolerance (HRSFT) strategy that integrates matching physical sensors (PS) with two distinct types of virtual sensors (VS) driven by multi-sensor association and time-series prediction models. The HRSFT employs a voting-cold storage strategy to address the false alarm issues commonly associated with single virtual sensor systems. Through experimental validation, the HRSFT strategy has demonstrated its capability to provide accurate replacement information during both single and multi-sensor failure scenarios, effectively managing abnormal sensor data and enhancing the operational reliability of the DPS. The implementation of the HRSFT strategy significantly improves the accuracy and stability of the DPS, suggesting a substantial advancement in sensor fault tolerance that could be applied to similar systems in various industries, leading to safer and more reliable operations. Subject Cutter suction dredger (CSD)Data fusionDredging perception systemFault tolerant (FT)ReliabilitySensor-fault detection, isolation and accommodation (SFDIA) To reference this document use: http://resolver.tudelft.nl/uuid:c5493f97-7b28-41b8-99ae-8b8f937b5645 DOI https://doi.org/10.1016/j.ress.2024.110134 Embargo date 2024-10-09 ISSN 0951-8320 Source Reliability Engineering & System Safety, 247 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2024 Bin Wang, Enrico Zio, X. Chen, Hanhua Zhu, Yunhua Guo, Shidong Fan Files file embargo until 2024-10-09