Intelligent fault diagnosis technology plays an indispensable role in ensuring the safety,stability,and efficiency of railway operations.However,existing studies have the following limitations.1)They are typical black-...Intelligent fault diagnosis technology plays an indispensable role in ensuring the safety,stability,and efficiency of railway operations.However,existing studies have the following limitations.1)They are typical black-box models that lacks interpretability as well as they fuse features by simply stacking them,overlooking the discrepancies in the importance of different features,which reduces the credibility and diagnosis accuracy of the models.2)They ignore the effects of potentially mistaken labels in the training datasets disrupting the ability of the models to learn the true data distribution,which degrades the generalization performance of intelligent diagnosis models,especially when the training samples are limited.To address the above items,an interpretable few-shot framework for fault diagnosis with noisy labels is proposed for train transmission systems.In the proposed framework,a feature extractor is constructed by stacked frequency band focus modules,which can capture signal features in different frequency bands and further adaptively concentrate on the features corresponding to the potential fault characteristic frequency.Then,according to prototypical network,a novel metric-based classifier is developed that is tolerant to mislabeled support samples in the case of limited samples.Besides,a new loss function is designed to decrease the impact of label mistakes in query datasets.Finally,fault simulation experiments of subway train transmission systems are designed and conducted,and the effectiveness as well as superiority of the proposed method are proved by ablation experiments and comparison with the existing methods.展开更多
在中国城市客车行驶工况条件下,运用车载排放测试技术(portable em ission measurement sys-tem,简称PEMS)研究了某重型混合动力客车在怠速运转时采取停机和不停机两种不同控制策略下的实际排放因子和燃油消耗率.试验研究结果表明,停机...在中国城市客车行驶工况条件下,运用车载排放测试技术(portable em ission measurement sys-tem,简称PEMS)研究了某重型混合动力客车在怠速运转时采取停机和不停机两种不同控制策略下的实际排放因子和燃油消耗率.试验研究结果表明,停机模式比不停机模式可提高该车燃油经济性4.6%,但CO排放因子却增加了53.6%;怠速不停机时,HC+NOx排放增加20.6%.同时说明对于混合动力车辆的油耗和排放,特别是排放的评价,应当采取基于整车的评价方法.展开更多
基金supported in part by the National Key R&D Program of China under Grant 2022YFB4300601in part by the State Key Laboratory of Advanced Rail Autonomous Operation under Grant RAO2023ZZ003.
文摘Intelligent fault diagnosis technology plays an indispensable role in ensuring the safety,stability,and efficiency of railway operations.However,existing studies have the following limitations.1)They are typical black-box models that lacks interpretability as well as they fuse features by simply stacking them,overlooking the discrepancies in the importance of different features,which reduces the credibility and diagnosis accuracy of the models.2)They ignore the effects of potentially mistaken labels in the training datasets disrupting the ability of the models to learn the true data distribution,which degrades the generalization performance of intelligent diagnosis models,especially when the training samples are limited.To address the above items,an interpretable few-shot framework for fault diagnosis with noisy labels is proposed for train transmission systems.In the proposed framework,a feature extractor is constructed by stacked frequency band focus modules,which can capture signal features in different frequency bands and further adaptively concentrate on the features corresponding to the potential fault characteristic frequency.Then,according to prototypical network,a novel metric-based classifier is developed that is tolerant to mislabeled support samples in the case of limited samples.Besides,a new loss function is designed to decrease the impact of label mistakes in query datasets.Finally,fault simulation experiments of subway train transmission systems are designed and conducted,and the effectiveness as well as superiority of the proposed method are proved by ablation experiments and comparison with the existing methods.
文摘在中国城市客车行驶工况条件下,运用车载排放测试技术(portable em ission measurement sys-tem,简称PEMS)研究了某重型混合动力客车在怠速运转时采取停机和不停机两种不同控制策略下的实际排放因子和燃油消耗率.试验研究结果表明,停机模式比不停机模式可提高该车燃油经济性4.6%,但CO排放因子却增加了53.6%;怠速不停机时,HC+NOx排放增加20.6%.同时说明对于混合动力车辆的油耗和排放,特别是排放的评价,应当采取基于整车的评价方法.
基金National Key Basic Research and Development Plan of China(973Program)(20011CB711106)National Key Technology R&D Program in the 11th Five-year Plan of China(2009BAG12A02-E01-1)
