| 蔡 军,肖乔元,吴 凡.基于超程时间测量的电磁继电器故障检测[J].电子测量与仪器学报,2023,37(6):93-100 |
| 基于超程时间测量的电磁继电器故障检测 |
| Fault detection of electromagnetic relay based on super-path time measurement |
| |
| DOI： |
| 中文关键词: 电磁继电器 故障检测 超程时间 区间证据推理 |
| 英文关键词:electromagnetic relay fault detection super-path time interval evidential reasoning |
| 基金项目:国家自然科学基金(61906026)项目资助 |
|
|
|
|
| 摘要点击次数: 521 |
| 全文下载次数: 1263 |
| 中文摘要: |
| 针对现有电磁继电器隐性故障检测率较低的问题,提出一种基于超程时间测量的电磁继电器故障检测方法。 首先,通
过离线优化获取最优模糊阈值,然后应用线性回归方法,对超程时间监测数据进行在线预测,并利用拟合误差将预测值扩展为
预测区间;其次,根据最优模糊阈值,将监测数据和预测区间分别转换为当前和预测故障证据,利用区间证据推理迭代融合积
累、当前、预测 3 种故障证据,获取更新后的积累故障证据;最后,按照故障判据,由积累故障证据得到继电器故障检测结果。 所
提方法充分考虑了继电器隐性故障的渐变性特征以及超程时间测量过程所包含的不确定性,使故障证据更贴近于继电器实际
工况。 实验结果表明,与现有方法相比,所提方法在证据准确性和收敛速度上具有显著优势,能够有效提升电磁继电器隐性故
障的检测精度。 |
| 英文摘要: |
| In order to improve the hidden fault detection rate of electromagnetic relay, a fault detection method based on super-path time
measurement for electromagnetic relay is proposed in this paper. Firstly, the fuzzy threshold is optimized offline. Secondly, the superpath time data is predicted online using sliding window linear regression, and extended to predicted interval based on fitting error. Then,
the relay super-path time measured data and predicted interval are converted into current fault evidence and predictive fault evidence
using fuzzy threshold, and cumulative fault evidence is updated by iterative fusing cumulative, current and predictive fault evidence using
interval evidence reasoning. Finally, the result of fault detection can be obtained from cumulative fault evidence according to fault
criteria. The proposed method considers the slow-changing features of hidden relay fault and uncertainty in super-path time measurement
process, so that the fault evidence is closer to the actual working condition of relay. The experimental results show that the proposed
method has significant advantages in evidence accuracy and convergence speed, and can effectively improve the detection accuracy of
electromagnetic relay hidden fault. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
