Review on fault-tolerant control of unmanned underwater vehicles

Liu, Fuqiang; Ma, Zuxing; Mu, Bingxian; Duan, Chaoqun; Chen, Rui; Qin, Yi; Pu, Huayan; Luo, Jun

doi:10.1016/j.oceaneng.2023.115471

Cited by 14 publications

(3 citation statements)

References 93 publications

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“…Propeller failures such as wing blockage, deformation, blade damage, jamming, slipping, and creeping can hinder the propeller from producing propulsion [74,75]. Failure of the buoyancy pump as well as the steering motor and transmission system is another possibility [76][77][78]. Failure of the battery that powers the thruster could also prevent the thruster from working or the battery from being charged [79].…”

Section: Driving Unitmentioning

confidence: 99%

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Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis

Byun,

Lee

2024

JMSE

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This paper presents a phased fault tree analysis (phased-FTA)-based approach to evaluate the performability of Autonomous Underwater Vehicles (AUVs) in real time. AUVs carry out a wide range of missions, including surveying the marine environment, searching for specific targets, and topographic mapping. For evaluating the performability of an AUV, it is necessary to focus on the mission-dependent components and/or subsystems, because each mission exploits different combinations of devices and equipment. In this paper, we define a performability index that quantifies the ability of an AUV to perform the desired mission. The novelty of this work is that the performability of the AUV is evaluated based on the reliability and performance of the relevant resources for each mission. In this work, the component weight, expressing the degree of relevance to the mission, is determined using a ranking system. The proposed ranking system assesses the performance of the components required for each mission. The proposed method is demonstrated under various mission scenarios with different sets of faults and performance degradations.

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Section: Driving Unitmentioning

confidence: 99%

“…Periodically, each sensor initializes itself to fix errors that arise during mission execution. Defects in the acoustic elements may occur in underwater acoustic systems, which are installed on underwater communication nodes for wireless communication [76]. There is also a chance of a ground fault [82].…”

Section: Communication Unitmentioning

confidence: 99%

Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis

Byun,

Lee

2024

JMSE

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“…Damage to these thrusters can result in difficulties during mission execution [12]. Therefore, fault diagnosis (FD) of underwater thrusters has attracted considerable attention [13].…”

Section: Introductionmentioning

confidence: 99%

Research on Clustering-Based Fault Diagnosis during ROV Hovering Control

Park,

Cho,

Gil

et al. 2024

Applied Sciences

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The objective of this study was to perform fault diagnosis (FD) specific to various faults that can occur in the thrusters of remotely operated vehicles (ROVs) during hovering control. Underwater thrusters are predominantly utilized as propulsion systems in the majority of ROVs and are essential components for implementing motions such as trajectory tracking and hovering. Faults in the underwater thrusters can limit the operational capabilities of ROVs, leading to permanent damage. Therefore, this study focused on the FD for faults frequently caused by external factors such as entanglement with floating debris and propeller breakage. For diagnosing faults, a data-based technique that identifies patterns according to data characteristics was utilized. In imitation of the fault situations, data for normal, breakage and entangled conditions were acquired, and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) was employed to differentiate between these fault conditions. The proposed methodology was validated by configuring an ROV and conducting experiments in an engineering water tank to verify the performance of the FD.

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Enhancing Network Reliability: Exploring Effective Strategies for Coverage-Hole Analysis and Patching in Wireless Sensor Networks

Chowdhuri,

Barma

2024

Wireless Pers Commun

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Review on fault-tolerant control of unmanned underwater vehicles

Cited by 14 publications

References 93 publications

Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis

Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis

Research on Clustering-Based Fault Diagnosis during ROV Hovering Control

Enhancing Network Reliability: Exploring Effective Strategies for Coverage-Hole Analysis and Patching in Wireless Sensor Networks

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