New fault detection and fault-tolerant scheme for Doppler velocity logger outage in ocean navigation systems

Hashemi, Mojtaba; Shami, Ehsan

doi:10.1017/s0373463320000752

Cited by 9 publications

(4 citation statements)

References 30 publications

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“…Road section (3) lasts from 350 s to 450 s, and the vehicle passes through dense areas with sudden interference. The root mean square error (RMSE) is implemented to evaluate the positioning accuracy of different algorithms [44], and we evaluate IMMFGO and MSFDIR based on the typical road sections.…”

Section: Methodsmentioning

confidence: 99%

Fault Detection and Interactive Multiple Models Optimization Algorithm Based on Factor Graph Navigation System

Wang,

Zeng,

Shao

et al. 2024

Remote Sensing

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Accurate and stable positioning is significant for vehicle navigation systems, especially in complex urban environments. However, urban canyons and dynamic interference make vehicle sensors prone to disturbance, leading to vehicle positioning errors and even failures. To address these issues, an adaptive loosely coupled IMU/GNSS/LiDAR integrated navigation system based on factor graph optimization with sensor weight optimization and fault detection is proposed. First, the factor nodes and system framework are constructed based on error models of sensors, and the optimization method principle is derived. Second, the interactive multiple-model algorithm based on factor graph optimization (IMMFGO) is utilized to calculate and adjust sensor weights for global optimization, which will reduce the impact of disturbed sensors. Finally, a multi-stage fault detection, isolation, and recovery (MSFDIR) strategy is implemented based on the IMMFGO results and IMU pre-integration measurements, which can detect significant sensor faults and optimize the system structure. Vehicle experiments show that our IMMFGO method generally obtains better performance in positioning accuracy by 23.7% compared to adaptive factor graph optimization (AFGO) methods, and the MSFDIR strategy possesses the capability of fault sensor detection, which provides an essential reference for multi-source vehicle navigation systems in urban canyons.

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Section: Methodsmentioning

confidence: 99%

Fault Detection and Interactive Multiple Models Optimization Algorithm Based on Factor Graph Navigation System

Wang,

Zeng,

Shao

et al. 2024

Remote Sensing

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“…Compared with transmission piston, rotor and swash plate, scroll compression structure of compressor has the characteristics of high volumetric efficiency, stable operation and small vibration. The whole structure adopts an integrated structure, and the control part and the operation part adopt an integrated structure design, which is smaller in size and convenient to install [10][11][12] . At the same time, the motor and the power module can use the air conditioner to operate the refrigerant to cool themselves, reducing heat dissipation parts and improving product reliability.…”

Section: Introductionmentioning

confidence: 99%

Research on fault diagnosis of integrated environmental control system in aircraft cockpit

Du,

Xie

2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

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Aiming at the conflict between thermal design and maintainability design in aircraft cockpit, a fault diagnosis method of incabin environmental control integrated system is proposed. The emphasis is on the electric control system and the motor system of fan compressor. The electric control box adopts independent closed design, which is installed inside the device, in the same environment as the cabin, and placed on the circulating air channel, and the bottom is provided with cooling fins, which is beneficial to the heat dissipation of electrical components. The connection is completed by shielded twisted-pair cable, etc., and the relationship between heat dissipation design and electromagnetic compatibility design must be handled well. The electric scroll compressor is adopted, and the compressor motor adopts high-efficiency permanent magnet motor with centralized winding, which weakens the mutual inductance between phases and improves the motor efficiency. The rotor magnetic steel is made of NdFeB rare earth permanent magnet material, which has the advantages of small volume, high efficiency, large output peak torque, fast response of control parameters, wide speed regulation range and accurate positioning.

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“…In safety critical applications (SCA), fault detection and isolation (FDI) is a key aspect in order to effectively improve the robustness of the system and prevent the navigation system from crashing due to sensor failure [15]. Faurie et al proposed a new fault detection algorithm based on the multi-model algorithm, in which the Kalman filter in the system is replaced by the proposed model [16].…”

Section: Introductionmentioning

confidence: 99%

Fault Detection of Resilient Navigation System Based on GNSS Pseudo-Range Measurement

et al. 2022

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Because of the resilient frame structure, the factor graph is often used in navigation systems to solve the sensor asynchrony problem and realize plug-and-play effectively in the navigation information fusion method. To improve the fault detection performance of resilient integrated navigation systems under complex interference environments, a fault detection method in factor graph navigation framework based on INS measurements and GNSS pseudo-range measurements is proposed in this paper. The proposed method can effectively locate the fault satellite pseudo-range information based on the Chi-square fault detection method. Due to the plug-and-play characteristic of the factor graph framework, this method can quickly isolate faults to improve navigation accuracy. Finally, the effect of the method is verified by simulation and experiment. Compared with the Chi-square fault detection method, positioning accuracy is improved by more than 40%.

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New fault detection and fault-tolerant scheme for Doppler velocity logger outage in ocean navigation systems

Cited by 9 publications

References 30 publications

Fault Detection and Interactive Multiple Models Optimization Algorithm Based on Factor Graph Navigation System

Fault Detection and Interactive Multiple Models Optimization Algorithm Based on Factor Graph Navigation System

Research on fault diagnosis of integrated environmental control system in aircraft cockpit

Fault Detection of Resilient Navigation System Based on GNSS Pseudo-Range Measurement

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