Manifold-Contrastive Broad Learning System for Wheelset Bearing Fault Diagnosis
Manifold-Contrastive Broad Learning System for Wheelset Bearing Fault Diagnosis
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DOI：
10.1109/tits.2023.3274256
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发表时间：
2023-09
影响因子：
8.5
通讯作者：
Ning Wang;L. Jia;Huiyue Zhang;Yong Qin;Xuejun Zhao;Zhipeng Wang
中科院分区：
文献类型：
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作者：
Ning Wang;L. Jia;Huiyue Zhang;Yong Qin;Xuejun Zhao;Zhipeng Wang
新部署的列车有大量的正常数据和缺乏故障数据的训练，这限制了诊断精度与类不平衡问题的小样本。针对大量未标记监测数据中隐藏着大量未利用信息的问题，提出了一种利用在线更新方法处理小样本类别不平衡问题的流形对比广义学习系统方法。该方法构造了一种基于内在引导比较机制的单类广义学习分类器，能够在线对未标记数据进行分类和标注。该分类器采用对比流形矩阵来保持分类器的固有结构，不受样本不平衡引起的过拟合的影响。其次，受主动学习思想的启发，该分类器提出了最小误差策略，通过模式分类对样本进行标注，解决了训练数据不足的问题。第三，该方法采用增量学习策略，不断吸收新标注的数据在线更新模型，提高了数据不平衡条件下模型的准确性。最后，通过某机车车辆公司轮对轴承试验台的实测数据，验证了该方法的可行性和有效性。
Newly deployed trains have massive normal data and scarce faulty data for training, which limits the diagnosis accuracy with class imbalance problem of small samples. Considering that there are a lot unutilized information hidden in the abundant unlabeled monitoring data, this paper proposes a novel method named manifold-contrastive broad learning system, which utilizes the online updating approach for dealing with the class imbalance problem of small samples. This method constructs a novel one-class broad-learning classifier based on an inherency-guided comparison mechanism, which can classify and annotate unlabeled data online. This classifier employs contrastive manifold matrices to maintain the inherent structures, which is not affected to the overfitting caused by imbalanced samples. Secondly, inspired by the active learning, this classifier proposes the minimum-error strategy to annotate the samples by classifying the modes, which solves the problem of insufficient training data. Thirdly, this method applies an incremental learning strategy that continuously absorbs the newly annotated data to update the model online, which improves the model accuracy under the data imbalanced condition. Finally, the feasibility and effectiveness of the proposed method are verified by wheelset bearing data collected from a test rig of a Chinese rolling stock company.