| 郁明,陈俊杰,卢昊天.非完美维修与退化耦合下间歇故障预测[J].电子测量与仪器学报,2026,40(6):201-210 |
| 非完美维修与退化耦合下间歇故障预测 |
| Intermittent fault prognosis under imperfect maintenanceand degradation coupling |
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| DOI： |
| 中文关键词: 非完美维修 退化耦合 非线性机电系统 间歇故障 |
| 英文关键词:imperfect maintenance degradation coupling nonlinear electromechanical system intermittent fault |
| 基金项目:国家自然科学基金（62173119）资助项目 |
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| 摘要点击次数: 37 |
| 全文下载次数: 8 |
| 中文摘要: |
| 针对现有非线性机电系统的间歇故障预测模型精度不足的问题，提出一种基于非完美维修与退化耦合的剩余使用寿命预测方法。首先，建立非线性机电系统的键合图模型，以进行故障检测和隔离，并提出一种增强水流优化算法用于实现间歇故障估计。其次，基于滚动窗口提取混合间歇故障特征，以全面地描述间歇故障的退化趋势。针对非完美维修与退化耦合效应同时存在的情形，提出一种间歇复合退化模型以预测故障元件的剩余使用寿命。所提模型将故障元件的退化过程分成内部退化和外部退化，并通过耦合因子和失效强度几何减少模型描述退化耦合效应和非完美维修效应对退化过程的影响。实验结果表明，所提方法在多重间歇故障情况下剩余使用寿命的预测精度分别达到97.53%和96.80%，优于粒子群优化算法和水流优化算法；同时，与仅考虑退化耦合效应和仅考虑非完美维修效应的预测性能相比，所提方法的预测精度显著提升。 |
| 英文摘要: |
| In order to solve the problem that existing degradation models for nonlinear electromechanical systems under intermittent faults fail to simultaneously consider the effects of imperfect maintenance and degradation coupling, which leads to a decline in prediction accuracy, a remaining useful life prediction method based on intermittently composite degradation model is proposed for nonlinear electromechanical system with intermittent faults. Firstly, the bond graph model of the nonlinear electromechanical system is established for fault detection and isolation, and an augmented water flow optimizer algorithm is developed for intermittent fault estimation. Secondly, a hybrid intermittent fault feature is extracted based on the tumbling window to comprehensively describe the intermittent fault trend. The intermittently composite degradation model is proposed to predict the remaining useful life of faulty component in the situation where the imperfect maintenance and degradation coupling effect exist simultaneously. The model divides the degradation process of the faulty components into internal and external degradation, and describes the effects of degradation coupling and imperfect maintenance through coupling factors and a geometric reduction of intensity model. Experimental results show that the proposed method achieves cumulative relative accuracy of 97.53% and 96.80% in predicting the remaining useful life of multiple intermittent faults, which is superior to the particle swarm optimization algorithm and the water flow optimization algorithm. Additionally, in comparison with degradation models considering only degradation coupling effects and only imperfect maintenance effects, the proposed method demonstrates significant improvement in prediction accuracy. |
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