A combined diagnosis system design using model-based and data-driven methods

机译：使用基于模型和数据驱动方法的组合诊断系统设计

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

A hybrid diagnosis system design is proposed that combines model-based and data-driven diagnosis methods for fault isolation. A set of residuals are used to detect if there is a fault in the system and a consistency-based fault isolation algorithm is used to compute all diagnosis candidates that can explain the triggered residuals. To improve fault isolation, diagnosis candidates are ranked by evaluating the residuals using a set of one-class support vector machines trained using data from different faults. The proposed diagnosis system design is evaluated using simulations of a model describing the air-flow in an internal combustion engine.

机译：提出了一种混合诊断系统设计，该设计结合了基于模型和数据驱动的诊断方法以进行故障隔离。一组残差用于检测系统中是否存在故障，并且基于一致性的故障隔离算法用于计算所有可以解释触发残差的诊断候选对象。为了改善故障隔离，通过使用一组使用来自不同故障的数据训练的一类支持向量机来评估残差，从而对诊断候选进行排序。所提出的诊断系统设计是使用描述内燃机中气流的模型模拟进行评估的。

著录项

来源
《2016 3rd Conference on Control and Fault-Tolerant Systems》|2016年|177-182|共6页
会议地点 Barcelona(ES)
作者
Daniel Jung; Kok Yew Ng; Erik Frisk; Mattias Krysander;
展开▼
作者单位

Department of Electrical Engineering, Linköping University, Linköping, Sweden;

Electrical and Computer Systems Engineering, School of Engineering, Monash University, 47500 Bandar Sunway, Malaysia;

Department of Electrical Engineering, Linköping University, Linköping, Sweden;

Department of Electrical Engineering, Linköping University, Linköping, Sweden;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Computational modeling; Training data; System analysis and design; Fault diagnosis; Data models; Atmospheric modeling; Support vector machines;

机译：计算建模;训练数据;系统分析与设计;故障诊断;数据模型;大气建模;支持向量机;

相似文献

外文文献
中文文献
专利

1. A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction [J] . Liao Linxia, Koettig Felix Applied Soft Computing . 2016,第Null期

机译：混合框架结合了数据驱动和基于模型的方法，可预测系统剩余使用寿命
2. Dynamic production system diagnosis and prognosis using model-based data-driven method [J] . Zou Jing, Chang Qing, Arinez Jorge, Expert Systems with Application . 2017,第SEPa期

机译：基于模型的数据驱动方法对生产系统的动态诊断与预测
3. Stability Analysis for a Class of Systems: From Model-Based Methods to Data-Driven Methods [J] . Wang Z., Liu D. IEEE Transactions on Industrial Electronics . 2014,第11期

机译：一类系统的稳定性分析：从基于模型的方法到数据驱动的方法
4. A combined diagnosis system design using model-based and data-driven methods [C] . Daniel Jung, Kok Yew Ng, Erik Frisk, Conference on Control and Fault-Tolerant Systems . 2016

机译：使用基于模型和数据驱动方法的组合诊断系统设计
5. Model-based and data-driven fault diagnosis for wind turbine hydraulic pitching system. [D] . Wu, Xin. 2010

机译：基于模型和数据驱动的风力发电机液压变桨系统故障诊断。
6. Voxelwise quantification of 11C(R)-rolipram PET data: a comparison between model-based and data-driven methods [O] . Gaia Rizzo, Mattia Veronese, Paolo Zanotti-Fregonara, 2013

机译：11C（R）-咯利普兰PET数据的体素量化：基于模型的方法与数据驱动方法之间的比较
7. Dynamic production system diagnosis and prognosis using model-based data-driven method [O] . Jing Zou, Qing Chang, Jorge Arinez, 2017

机译：基于模型的数据驱动方法的动态生产系统诊断和预后

A combined diagnosis system design using model-based and data-driven methods

摘要

著录项

相似文献

相关主题

期刊订阅