熱軋過程複合故障層次化監測和智能診斷=Hierarchical Monitoring and Intelligent D

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書名：熱軋過程複合故障層次化監測和智能診斷=Hierarchical Monitoring and Intelligent Diagnosis of Compound Faults for Hot Roll
ISBN：9787524000839
出版社：冶金工業
著編譯者：馬亮
頁數：122
所在地：中國大陸 *此為代購商品
書號：1719057
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【台灣高等教育出版社簡體書】 熱軋過程複合故障層次化監測和智能診斷=Hierarchical Monitoring and Intelligent Diagnosis of Compound Faults for Hot Roll 787524000839 馬亮

內容簡介

本專著圍繞熱軋過程複合故障檢測與診斷中的共性難點問題（運行狀態監測數據繁多，難描述；強雜訊下複合故障信號微弱，難獲取；複合故障特徵可分性弱，難診斷），針對其對應的科學問題（系統未知擾動與強雜訊下的複合故障檢測；多重併發與耦合故障信息下的複合故障診斷），重點論述了融合層級信息的全流程分解與建模、強雜訊下的複合故障自主檢測、自上而下的複合故障精準診斷等內容，最後在實際系統中驗證了上述理論與方法的正確性和可行性。

目錄

Chapter 1 Introduction
1 1 Motivation of the thesis
1 2 Objectives of the thesis
1 3 Outline of the thesis
Chapter 2 Overview of the Hierarchical Monitoring and Intelligent Diagnosis Methods for Compound Faults
2 1 Research status of the hierarchical monitoring methods for compound faults
2 1 1 The multivariate statistics based methods
2 1 2 The multi - block or decentralized monitoring methods
2 2 Research status of the compound fault diagnosis methods
2 2 1 The model based methods
2 2 2 The signal processing based methods
2 2 3 The traditional machine learning based methods
2 2 4 The deep learning based methods
Chapter 3 A Decentralized Detection Framework for Quality - related Faults
3 1 Preliminaries and problem formulation
3 1 1 Mutual information
3 1 2 Kernel principle component analysis
3 2 The decentralized quality - related fault detection method
3 2 1 DMKPCA based offline modeling
3 2 2 Bayesian fusion based online detection
3 3 Verification study
3 3 1 Descriptions of the HRP
3 3 2 Case study for quality - related faults in RMP
3 3 3 Case study for quality - related faults in FMP
Chapter 4 A Dynamic Hierarchical Monitoring Method for Quality - related Compound Faults
4 1 Preliminaries and problem formulation
4 2 The proposed dynamic hierarchical monitoring method
4 2 1 CCVA based offline modeling
4 2 2 Bayesian inference based online monitoring
4 3 Verification study
4 3 1 Case study for independent compound faults 1 and 3
4 3 2 Case study for independent compound faults 2 and 3
Chapter 5 A Nonlinear and Dynamic Hierarchical Monitoring Method for Quality - related Compound Faults
5 1 Preliminaries and problem formulation
5 2 The proposed nonlinear and dynamic hierarchical monitoring method
5 2 1 AKCVA based offline modeling
5 2 2 Bayesian inference based online monitoring
5 3 Verification study
5 3 1 Parameter setting
5 3 2 Hierarchical monitoring results
Chapter 6 A Semisupervised Classification Framework for Coupling Faults
6 1 Preliminaries and problem formulation
6 2 The semisupervised MTL method for coupling fault classification
6 2 1 The proposed framework
6 2 2 Optimization
6 2 3 Convergence analysis
6 3 Verification study
6 3 1 Case study for coupling faults in RMP
6 3 2 Case study for coupling faults in FMP
Chapter 7 A Robust Semisupervised Classification Framework for Quality - Related Coupling Faults
7 1 Preliminaries and problem formulation
7 2 The proposed robust semisupervised classification method
7 2 1 The proposed framework
7 2 2 Optimization
7 2 3 Convergence analysis
7 3 Verification study
7 3 1 Parameter setting
7 3 2 Case study for width - related coupling faults in RMP
7 3 3 Case study for thickness - related coupling faults in FMP
Chapter 8 A Multi - label Classification Framework for Coupling Faults
8 1 Preliminaries and problem formulation
8 2 The proposed multi - label classification method
8 2 1 The proposed framework
8 2 2 Optimization
8 2 3 Convergence analysis
8 3 Verification study
8 3 1 Case study for coupling faults in RMP
8 3 2 Case study for coupling faults in FMP
Chapter 9 A Multi - task Learning Based Collaborative Modeling of Heterogeneous Data for Compound Fault Diagnosis
9 1 The MTL based collaborative modeling framework
9 1 1 The MTL based collaborative modeling method
9 1 2 Optimization and solution
9 1 3 The attention based feature fusion network for compound fault diagnosis
9 2 Verification study
9 2 1 Case study for compound fault Ⅰ
9 2 2 Case study for compound fault Ⅱ
References

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