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The optimal placement of a limited number of sensors in subsea hydraulic systems is crucial for enhancing the efficiency of fault diagnosis. This involves determining the most reasonable positions for these sensors. To get good diagnostic results with fewer sensors, a sensor placement method optimized by discrete particle swarm algorithm is proposed. Response time model and propagation path model are established to measure sensor performance. A discrete particle swarm optimization algorithm is used to calculate the optimal solution for the optimal placement of sensors. The method is used in the hydraulic control system of the subsea blowout preventer. The result shows that the proposed method reduces the number of sensors and data redundancy effectively.

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Optimal Sensor Placement for Fault Diagnosis

  • 章节

  • 发表日期：

    2025年

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  • Baoping Cai,
  • Yiliu Liu,
  • Yonghong Liu,
  • Yixin Zhao,
  • Xiaoyan Shao

摘要

The optimal placement of a limited number of sensors in subsea hydraulic systems is crucial for enhancing the efficiency of fault diagnosis. This involves determining the most reasonable positions for these sensors. To get good diagnostic results with fewer sensors, a sensor placement method optimized by discrete particle swarm algorithm is proposed. Response time model and propagation path model are established to measure sensor performance. A discrete particle swarm optimization algorithm is used to calculate the optimal solution for the optimal placement of sensors. The method is used in the hydraulic control system of the subsea blowout preventer. The result shows that the proposed method reduces the number of sensors and data redundancy effectively.