| 赵建忠,韩丹阳,于劲松,顾钧元,许宜贺,张峥.基于多物理场因果建模的船用升降机故障注入研究[J].电子测量与仪器学报,2026,40(4):121-134 |
| 基于多物理场因果建模的船用升降机故障注入研究 |
| Research on fault injection and diagnosis of marine elevatorsbased on multi-physics causal modelling |
| |
| DOI： |
| 中文关键词: 船用升降机 故障注入 多物理场耦合 因果关联 |
| 英文关键词:marine elevator fault injection multiphysics coupling causal correlation |
| 基金项目:杭州市北京航空航天大学国际创新研究院(北京航空航天大学国际创新学院)博士后科研专项(2025BKZ024)资助 |
|
|
| Author | Institution |
| Zhao Jianzhong | Naval Aviation University, Yantai 264001,China |
| Han Danyang | International Innovation Institute of
Beihang University (International Innovation College of Beihang University), Hangzhou 311115，China |
| Yu Jinsong | School of Automation
Science and Electrical Engineering, Beihang University, Beijing 100191,China |
| Gu Junyuan | Naval Aviation University, Yantai 264001,China |
| Xu Yihe | Naval Aviation University, Yantai 264001,China |
| Zhang Zheng | Naval Aviation University, Yantai 264001,China |
|
| 摘要点击次数: 343 |
| 全文下载次数: 150 |
| 中文摘要: |
| 针对船用升降机故障样本稀缺、实机故障复现风险高且成本昂贵的问题，提出一种基于多物理场因果建模的船用升降机建模方法和故障注入方法，用于故障样本生成。区别于传统仅在可测信号层叠加偏差的测量偏置型故障注入方法，该方法立足于船用升降机的多物理场耦合特性建立故障注入模型，通过动态修改部件级关键物理参数，实现升降机从部件级性能变化到系统级功能失效的演变。基于所提出的船用升降机故障注入方法，通过故障-物理量表征行为分析，以及与测量偏置型故障注入方法的对比实验，验证方法在多部件间故障传播的有效性；通过多种典型故障诊断算法的诊断效果一致性，证明提出方法作为故障诊断验证基准的有效性。所提出的方法能够生成具备强物理因果性的故障样本，为船用升降机智能运维与故障诊断算法的训练提供可靠的故障数据支撑。 |
| 英文摘要: |
| To address the problems of scarce fault samples, high risk in reproducing faults on real equipment, and high cost, this paper proposes a marine elevator modelling method and a fault injection method based on multi-physics causal modelling for a fault sample generation method. Different from the traditional measurement-bias fault injection method that only superimposes deviations at the level of measurable signals, the proposed method establishes a fault injection model based on the mechanical-electrical-hydraulic coupling characteristics of marine elevators, and by dynamically modifying key component-level physical parameters, realises the evolution of the elevator from component-level performance changes to system-level functional failure. Based on the marine elevator fault-injection method proposed in this paper, the method’s effectiveness in fault propagation across multiple components is verified through fault-physical-quantity characterisation behaviour analysis and comparative experiments on performance with measurement-bias injection. Meanwhile, the effectiveness of the proposed method as a verification benchmark for fault diagnosis is demonstrated through the consistency of the effects of multiple typical fault diagnosis algorithms. The proposed method can generate fault samples with strong physical causality, providing reliable fault data support for the training of intelligent operation and maintenance and fault diagnosis algorithms for marine elevators. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
