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

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
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article

A SENSOR FAULT DETECTION ALGORITHM BASED ON GM-RBM PREDICTIONS AND A DUAL-CRITERION RESIDUAL PROCESSING MODEL, 393-404.

Daqi Zhu, Simon X. Yang, K. J. Ren, Tianhong Zeng
International Journal of Robotics and Automation
Fault Detection and Control Systems
article

A SENSOR FAULT DETECTION ALGORITHM BASED ON GM-RBM PREDICTIONS AND A DUAL-CRITERION RESIDUAL PROCESSING MODEL, 393-404.

Daqi Zhu, Simon X. Yang, K. J. Ren, Tianhong Zeng
article en

Abstract

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.

International Journal of Robotics and AutomationVol. 40(5)
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Openalex Percentile: Top 84%
Fault Detection and Control Systems
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A SENSOR FAULT DETECTION ALGORITHM BASED ON GM-RBM PREDICTIONS AND A DUAL-CRITERION RESIDUAL PROCESSING MODEL, 393-404. — Daqi Zhu, Simon X. Yang, et al. · International Journal of Robotics and Automation (2025) | TGRS Research Map | TGRS