異步融合估計及其在故障診斷中的應用=Asynchronous Fusion Estimation and its App

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書名：異步融合估計及其在故障診斷中的應用=Asynchronous Fusion Estimation and its Applications in Fault Diagnosis
ISBN：9787524000594
出版社：冶金工業
著編譯者：胡豔豔
頁數：137
所在地：中國大陸 *此為代購商品
書號：1714052
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【台灣高等教育出版社簡體書】 異步融合估計及其在故障診斷中的應用=Asynchronous Fusion Estimation and its Applications in Fault Diagnosis 787524000594 胡豔豔
內容簡介
本書主要介紹了異步多傳感器狀態融合估計的新方法及其在故障診斷中的應用。針對單模型和多模型動態系統，分別給出了集中式和分布式結構下的異步狀態融合估計算法。考慮到網絡化系統中由於網絡節 點故障或網絡堵塞等原因引起的數據包丟現象，介紹了異步多傳感器網絡化系統的單模型和多模型狀態融合估計方法。此外，本書還將所給出的方法應用於異步多傳感器動態系統的故障診斷，介紹了基於異步狀態融合估計方法的動態系統執行器故障檢測、分離和估計算法。最後，針對一類隨機退化過程，介紹了基於異步多源監測信息的設備剩餘使用壽命預測方法。

目錄

Chapter 1 Research Background
1 1 Multi-sensor fusion estimation
1 2 Fault diagnosis of dynamic systems
1 2 1 Fault diagnosis based on decision fusion
1 2 2 Fault diagnosis based on state fusion estimation
1 2 3 Feature fusion fault diagnosis based on neural network
1 3 Remaining useful life prediction
References
Chapter 2 Asynchronous Fusion Estimation for Single Model Systems
2 1 Introduction
2 2 Problem formulation
2 3 Asynchronous centralized fusion estimation
2 4 Asynchronous distributed fusion estimation
2 5 Simulation example
References
Chapter 3 Asynchronous Fusion Estimation for Multi-model Systems
3 1 Introduction
3 2 Problem formulation
3 3 Asynchronous centralized multi-model fusion estimation
3 3 1 Model-sequence conditioned reinitialization
3 3 2 Model-sequence conditioned filtering
3 3 3 Probability update of model sequence
3 3 4 Output combination
3 4 Asynchronous distributed multi-model fusion estimation
3 5 Simulation example
References
Chapter 4 Asynchronous Fusion Estimation for Single Model Networked Systems
4 1 Introduction
4 2 Problem formulation
4 3 Networked asynchronous fusion estimation
4 4 Simulation example
References
Chapter 5 Asynchronous Fusion Estimation for Multi-model Networked Systems
5 1 Introduction
5 2 Problem formulation
5 3 Networked asynchronous multi-model fusion estimation
5 4 Simulation example
References
Chapter 6 Fault Fusion Diagnosis for Asynchronous Multi-sensor Dynamic Systems with Additive Actuator Fault
6 1 Introduction
6 2 Problem formulation
6 3 Fault detection and isolation
6 3 1 Input mixing
6 3 2 Model-conditioned fusion filtering
6 3 3 Model probability update
6 3 4 Output combination
6 3 5 Fault detection and isolation
6 4 Fault fusion estimation
6 5 Simulation example
References
Chapter 7 Fault Fusion Diagnosis for Asynchronous Multi-sensor Dynamic Systems with Multiplicative Actuator Fault
7 1 Introduction
7 2 Problem formulation
7 2 1 Modeling of asynchronous multi-sensor system with actuator fault
7 2 2 Asynchronous IMM fusion filtering
7 3 Fault detection and isolation
7 4 Fault fusion estimation
7 5 Simulation example
References
Chapter 8 Fault Fusion Diagnosis for Asynchronous Multi-sensor Networked Dynamic Systems with Actuator Fault
8 1 Introduction
8 2 Problem formulation
8 3 Fault diagnosis model set design
8 4 Fault diagnosis fusion filtering
8 4 1 Filter reinitialization
8 4 2 Filtering under fault conditions
8 4 3 Failure probability update
8 4 4 Output fusion
8 5 Diagnosis process
8 6 Simulation example
References
Chapter 9 Remaining Useful Life Prediction of Stochastic Degradation Process Based on Asynchronous Multi-sensor Data Fusion
9 1 Introduction
9 2 Problem formulation
9 3 Fusion estimation of degradation state
9 4 Fusion identification of unknown parameters
9 5 Prediction of remaining useful life
9 6 Simulation example
References

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