A SENSOR FAULT DETECTION ALGORITHM BASED ON GM-RBM PREDICTIONS AND A DUAL-CRITERION RESIDUAL PROCESSING MODEL, 393-404.
A fault detection algorithm consisting of a grey model-restrictedBoltzmann machine (GM-RBM) prediction model and a dual-criterion residual processing model is proposed for unmannedunderwater vehicle sensors.
Authors
- Daqi Zhu (ORCID: https://orcid.org/0000-0001-7252-4952)
- Simon X. Yang (ORCID: https://orcid.org/0000-0002-6888-7993)
- K. J. Ren (ORCID: https://orcid.org/0009-0003-3500-4001)
- Tianhong Zeng
Publication Details
- Journal
- International Journal of Robotics and Automation
- Published
- 2025-01-01
- DOI
- https://doi.org/10.2316/j.2025.206-1230
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00