重庆大学学报2026，Vol.49Issue(8)：113-132,20.DOI:10.11835/j.issn.1000-582X.2026.08.010
拓扑引导的跨座式单轨列车齿轮箱振动信号预测
Vibration signal prediction of straddle-type monorail train gearboxes based on topological data analysis
摘要
Abstract
Straddle-type monorail train gearboxes operate in complex environments where vibration signals exhibit strong non-stationarity,nonlinearity,and high noise levels.In practical operating conditions,gearbox fault samples are difficult to obtain,and critical features are often obscured by noise,leading to overfitting and poor generalization of existing deep learning models for time series prediction.To address these challenges,this paper proposes a topology-guided time-series prediction model designed for small-sample conditions.First,an adaptive period detection mechanism is constructed using the Hilbert-Huang transform and the Teager energy operator to overcome the limitations of traditional methods in extracting features from non-stationary signals.Second,a topological attention mechanism is introduced by mapping vibration signals into a topological point cloud and quantifying multi-scale structural features via persistent homology,thereby generating an attention map with physical interpretability.Finally,a topology attention-guided convolutional neural network is constructed to achieve high-precision vibration signal prediction.Experimental results show that the proposed model achieves a coefficient of determination(R2)approximately 61％higher than that of the TimesNet model,verifying its robustness and efficient predictive performance under small sample conditions.关键词
跨座式单轨列车/齿轮箱/信号预测/拓扑注意力/希尔伯特-黄变换/Teager能量算子Key words
straddle-type monorail train/gearbox/signal prediction/topological attention/Hilbert-Huang transform/teager energy operator分类
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赵玲,许蕙,毛永芳,闫美婷,王运策,李强,谭晋..拓扑引导的跨座式单轨列车齿轮箱振动信号预测[J].重庆大学学报,2026,49(8):113-132,20.基金项目
重庆市教育委员会科学技术研究项目(KJZD-M202400706) （KJZD-M202400706）
重庆市教育委员会科学技术研究项目(KJQN202200715) （KJQN202200715）
国家留学基金委资助项目(202408500131)Supported by Science and Technology Research Program of Chongqing Municipal Education Commission(KJZD-M202400706),Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN202200715)and China Scholarship Council(202408500131). （202408500131）
