CN109407654A - 一种基于稀疏深度神经网络的工业数据非线性因果分析方法 - Google Patents
一种基于稀疏深度神经网络的工业数据非线性因果分析方法 Download PDFInfo
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Cited By (10)
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CN110365708A (zh) * | 2019-08-05 | 2019-10-22 | 山东浪潮人工智能研究院有限公司 | 一种基于向量自回归模型的交换机数据异常检测方法 |
CN110502590A (zh) * | 2019-08-27 | 2019-11-26 | 紫荆智维智能科技研究院(重庆)有限公司 | 基于格兰杰因果关系校验构建工业装备故障关系的方法 |
CN111310305A (zh) * | 2020-01-19 | 2020-06-19 | 华中科技大学鄂州工业技术研究院 | 一种固体氧化物燃料电池系统振荡变量获取方法 |
CN111367959A (zh) * | 2020-02-17 | 2020-07-03 | 大连理工大学 | 一种零时滞非线性扩展Granger因果分析方法 |
CN111721542A (zh) * | 2019-03-22 | 2020-09-29 | 丰田自动车工程及制造北美公司 | 用于检测故障或模型失配的系统和方法 |
CN111859799A (zh) * | 2020-07-14 | 2020-10-30 | 西安交通大学 | 基于复杂机电系统耦合关系模型评估数据准确性的方法及装置 |
CN111950358A (zh) * | 2020-07-01 | 2020-11-17 | 浙江中控技术股份有限公司 | 一种基于图像识别的阀门粘滞检测方法 |
CN112101480A (zh) * | 2020-09-27 | 2020-12-18 | 西安交通大学 | 一种多变量聚类与融合的时间序列组合预测方法 |
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US11415975B2 (en) | 2019-09-09 | 2022-08-16 | General Electric Company | Deep causality learning for event diagnosis on industrial time-series data |
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EP4310618A1 (en) * | 2022-07-21 | 2024-01-24 | Tata Consultancy Services Limited | Method and system for causal inference and root cause identification in industrial processes |
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US6658467B1 (en) * | 1999-09-08 | 2003-12-02 | C4Cast.Com, Inc. | Provision of informational resources over an electronic network |
US6473084B1 (en) * | 1999-09-08 | 2002-10-29 | C4Cast.Com, Inc. | Prediction input |
CN102366323B (zh) * | 2011-09-30 | 2013-09-11 | 中国科学院自动化研究所 | 一种基于pca和gca的磁共振脑成像因果连接强度的检测方法 |
CN103310286A (zh) * | 2013-06-25 | 2013-09-18 | 浙江大学 | 一种具有时间序列特性的产品订单预测方法及装置 |
CN105004498A (zh) * | 2015-07-09 | 2015-10-28 | 西安理工大学 | 一种水电机组的振动故障诊断方法 |
CN106355248A (zh) * | 2016-08-26 | 2017-01-25 | 深圳先进技术研究院 | 一种深度卷积神经网络训练方法及装置 |
CN106773693B (zh) * | 2016-12-21 | 2020-02-21 | 浙江大学 | 一种工业控制多回路振荡行为稀疏因果分析方法 |
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Cited By (13)
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CN111721542A (zh) * | 2019-03-22 | 2020-09-29 | 丰田自动车工程及制造北美公司 | 用于检测故障或模型失配的系统和方法 |
CN110365708B (zh) * | 2019-08-05 | 2021-12-07 | 山东浪潮科学研究院有限公司 | 一种基于向量自回归模型的交换机数据异常检测方法 |
CN110365708A (zh) * | 2019-08-05 | 2019-10-22 | 山东浪潮人工智能研究院有限公司 | 一种基于向量自回归模型的交换机数据异常检测方法 |
CN110502590A (zh) * | 2019-08-27 | 2019-11-26 | 紫荆智维智能科技研究院(重庆)有限公司 | 基于格兰杰因果关系校验构建工业装备故障关系的方法 |
US11415975B2 (en) | 2019-09-09 | 2022-08-16 | General Electric Company | Deep causality learning for event diagnosis on industrial time-series data |
CN111310305A (zh) * | 2020-01-19 | 2020-06-19 | 华中科技大学鄂州工业技术研究院 | 一种固体氧化物燃料电池系统振荡变量获取方法 |
CN111310305B (zh) * | 2020-01-19 | 2023-04-25 | 华中科技大学鄂州工业技术研究院 | 一种固体氧化物燃料电池系统振荡变量获取方法 |
CN111367959A (zh) * | 2020-02-17 | 2020-07-03 | 大连理工大学 | 一种零时滞非线性扩展Granger因果分析方法 |
CN111950358A (zh) * | 2020-07-01 | 2020-11-17 | 浙江中控技术股份有限公司 | 一种基于图像识别的阀门粘滞检测方法 |
CN111859799A (zh) * | 2020-07-14 | 2020-10-30 | 西安交通大学 | 基于复杂机电系统耦合关系模型评估数据准确性的方法及装置 |
CN112101480A (zh) * | 2020-09-27 | 2020-12-18 | 西安交通大学 | 一种多变量聚类与融合的时间序列组合预测方法 |
CN113328881A (zh) * | 2021-05-26 | 2021-08-31 | 南京航空航天大学 | 一种面向非合作无线网络的拓扑感知方法及装置、系统 |
CN113328881B (zh) * | 2021-05-26 | 2022-05-03 | 南京航空航天大学 | 一种面向非合作无线网络的拓扑感知方法及装置、系统 |
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