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Improving Fault Isolability Properties by Structural Analysis of Faulty Behavior Models: Application to the DAMADICS Benchmark Problem

机译：通过结构分析故障行为模型改善故障可分性：DamaDICs基准问题的应用

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Erik Frisk; Dilek Düstegör; Mattias Krysander; Vincent Cocquempot;
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年度 2003
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1. Structural analysis of fault isolability in the DAMADICS benchmark [J] . Dilek Dustegor, Erik Frisk, Vincent Cocquempot, Control Engineering Practice . 2006,第6期

机译：DAMADICS基准测试中故障隔离性的结构分析
2. Early FDI Based on Residuals Design According to the Analysis of Models of Faults: Application to DAMADICS [J] . YahiaKourd, DimitriLefebvre, NoureddineGuersi Advances in artificial neural systems . 2011,第1期

机译：基于故障模型的基于残差设计的早期FDI：在DAMADICS中的应用
3. Application of a novel fuzzy classifier to fault detection and isolation of the DAMADICS benchmark problem [J] . Cosmin Danut Bocaniala, Jose Sa da Costa Control Engineering Practice . 2006,第6期

机译：新型模糊分类器在DAMADICS基准问题的故障检测和隔离中的应用
4. IMPROVING FAULT ISOLABILITY PROPERTIES BY STRUCTURAL ANALYSIS OF FAULTY BEHAVIOR MODELS: APPLICATION TO THE DAMADICS BENCHMARK PROBLEM [C] . Erik Frisk, Dilek Duestegoer, Mattias Krysander, IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes . 2004

机译：故障行为模型结构分析提高故障隔离性质：在DAMADICS基准问题中的应用
5. Machine Learning from Faulty Data: Optimal Sparse L1-Norm Principal-Component Analysis [D] . Chamadia, Shubham. 2017

机译：从错误数据进行机器学习：最佳稀疏L1-Norm主成分分析
6. Formulation of a Model Resin System for Benchmarking Processing-Property Relationships in High-Performance Photo 3D Printing Applications [O] . Jianwei Tu, Kamran Makarian, Nicolas J. Alvarez, 2020

机译：用于高性能照片3D打印应用中的加工性质关系的模型树脂系统的制定
7. Early FDI Based on Residuals Design According to the Analysis of Models of Faults: Application to DAMADICS [O] . Yahia Kourd, Dimitri Lefebvre, Noureddine Guersi 2011

机译：早期的外国直接投资根据残留物设计根据故障模型的分析：对DAMADICS的应用
8. PMC System Level Fault Model: Cardinality Properties of the Implied Faulty Sets [R] . Kennedy, M. A., Meyer, G. G. 1987

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Improving Fault Isolability Properties by Structural Analysis of Faulty Behavior Models: Application to the DAMADICS Benchmark Problem

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