A novel NSSA-LSTM-based forecasting model for ship delays in the Beijing-Hangzhou Grand Canal DOI
Zhengchun Sun, Sudong Xu

Journal of Ocean Engineering and Marine Energy, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 21, 2024

Language: Английский

Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions DOI Creative Commons
Nadav Cohen, Itzik Klein

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103565 - 103565

Published: Dec. 1, 2024

Language: Английский

Citations

9
A framework to assess the operational state of autonomous ships with multi-component degrading systems DOI
Xiangyu Zhou,

Shiqi Jin,

Xiaohang Ren

et al.

Ocean Engineering, Journal Year: 2025, Volume and Issue: 327, P. 121000 - 121000

Published: March 23, 2025

Language: Английский

Citations

0
Selective maintenance of the complex system considering maintenance time uncertainty for system components with multiple repairpersons DOI
Haipeng Wang, Kaiwen Li, Zixuan Liu

et al.

Quality and Reliability Engineering International, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 2, 2024

Abstract This research presents an innovative selected maintenance model for complex systems that considers the uncertainty in time (MT) system components with multiple repairpersons. The computational of uncertain MT is established. An imperfect introduced, which has many levels not only considering do nothing, minimal repair, and replacement but also intermediate levels. Furthermore, assignment algorithm repairpersons proposed to addresses problem how assign tasks order minimize MT. And it innovatively integrated into particle swarm optimization (PSO) solve selective model, enables heuristic efficiently effectiveness advantages are verified by numerical experiments.

Language: Английский

Citations

0
Underwater Gyros Denoising Net (UGDN): A Learning-Based Gyros Denoising Method for Underwater Navigation DOI Creative Commons
Chun Cao, Can Wang,

Shaoping Zhao

et al.

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(10), P. 1874 - 1874

Published: Oct. 18, 2024

Autonomous Underwater Vehicles (AUVs) are widely used for hydrological monitoring, underwater exploration, and geological surveys. However, AUVs face limitations in navigation due to the high costs associated with Strapdown Inertial Navigation System (SINS) Doppler Velocity Log (DVL), hindering development of low-cost vehicles. Micro Electro Mechanical Measurement Units (MEMS IMUs) industry their low cost can output acceleration angular velocity, making them suitable as an Attitude Heading Reference (AHRS) poorly calibrated MEMS IMUs provide inaccurate leading rapid drift orientation. In environments where cannot use GPS position correction, this have severe consequences. To address issue, paper proposes Gyros Denoising Net (UGDN), a method based on dilated convolutions LSTM that learns extracts spatiotemporal features IMU sequences dynamically compensate gyroscope’s velocity measurements, reducing attitude heading errors. experimental section paper, we deployed dataset collected from field trials achieved significant results. The results show accuracy data denoised by UGDN approaches fiber-optic SINS, when integrated DVL, it serve solution.

Language: Английский

Citations

0
A novel NSSA-LSTM-based forecasting model for ship delays in the Beijing-Hangzhou Grand Canal DOI
Zhengchun Sun, Sudong Xu

Journal of Ocean Engineering and Marine Energy, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 21, 2024

Language: Английский

Citations

0