*完成訂單後正常情形下約兩周可抵台。 *本賣場提供之資訊僅供參考,以到貨標的為正確資訊。 印行年月:202403*若逾兩年請先於私訊洽詢存貨情況,謝謝。 台灣(台北市)在地出版社,每筆交易均開具統一發票,祝您中獎最高1000萬元。 書名:基於數字孿生的熱連軋過程生命週期健康管理系統 ISBN:9787502497439 出版社:冶金工業 著編譯者:張傳放 張瀚文 彭開香著 頁數:485 所在地:中國大陸 *此為代購商品 書號:1647618 可大量預訂,請先連絡。 內容簡介 本書共十九章,第一章介紹了數字主線和過程監測理論研究現狀,第二章介紹了帶鋼熱軋數據的感知、融合及可視化,第三章介紹了帶鋼熱軋數字主線構建,第四章介紹了質量相關的帶鋼熱軋過程分散式故障檢測,第五章介紹了帶鋼熱軋過程全狀態監測,第六章介紹了融合時空信息的帶鋼熱軋?相關過程監測,第七章介紹了?相關的帶鋼熱軋過程故障檢測與診斷一體化框架,第八章介紹了帶鋼熱軋過程分散式時空監測,第九章介紹了基於變分自編碼器的過程監測與故障隔離,第十章介紹了基於生成對抗網路的魯棒故障分類,第十一章介紹了基於寬度學習的帶鋼熱軋質量相關故障隔離,第十二章介紹了基於非平穩特性分析的故障檢測方法,第十三章介紹了消除大規模流程工業串聯子塊內部冗餘變數信息的質量監測方法,第十四章介紹了帶鋼熱軋全生命周期運行狀態評估,第十五章介紹了基於GRU和孿生網路的帶鋼熱軋綜合運行狀態評估,第十六章介紹了關鍵性能指標相關的帶鋼熱軋分散式運行狀態評估,第十七章介紹了基於重構關聯矩陣的時空協調運行狀態評估,第十八章介紹了基於深度循環神經網路的軋輥剩餘壽命預測,第十九章介紹了雲邊端協同的帶鋼熱軋全生命周期健康管理原型系統。目錄 Chapter 1 Background1 1 Introduction 1 1 1 Industrial internet 1 1 2 Digital twin 1 1 3 Digital thread 1 2 Review of process monitoring and fault diagnosis 1 2 1 Analytical model-based PMFD 1 2 2 Data-driven-based PMFD 1 2 3 Fault types in HSMP 1 3 Review of root cause diagnosis and propagation path identification 1 4 Review of operating performance assessment 1 5 Review of remaining useful life prediction References Chapter 2 HSMP Data Perception, Fusion, and Visualization 2 1 Research framework and technical route 2 2 HSMP data perception related theory 2 2 1 HSMP data perception principles 2 2 2 Classification of data collection methods 2 2 3 Intelligent manufacturing network architecture and OPC UA 2 3 HSMP data fusion methods 2 3 1 Data fusion analysis framework 2 3 2 Traditional data fusion methods 2 3 3 Deep autoencoder-based data feature extraction 2 3 4 Convolutional neural network-based data feature extraction 2 3 5 Recurrent neural network-based data feature extraction 2 4 HSMP data visualization method 2 4 1 Pure visual chart generation tool 2 4 2 Business intelligence (BI) analysis tool 2 4 3 Visualizing large-screen tool 2 4 4 3D data visualization tool 2 5 Conclusions References Chapter 3 Design of Digital Thread for HSMP 3 1 Research methods for constructing digital thread for HSMP 3 2 Unified description of multi-source heterogeneous data 3 2 1 Non-ideal data processing method 3 2 2 Meta model construction and MSH data description 3 2 3 KPI situation awareness and soft sensoring technology 3 3 Cross domain multi granularity model association and description 3 3 1 Multi process quality correlation model 3 3 2 Multi-scale data association model 3 3 3 Layered fuzzy signed directed graph model 3 3 4 Case study on the correlation of HSMP model 3 4 Evolutional feature extraction and fusion of heterogeneous data 3 4 1 Spatiotemporal feature extraction and fusion expression 3 4 2 Feature level fusion method for non-stationary data 3 4 3 Distributed feature fusion method 3 5 Knowledge graph and the construction of association network 3 5 1 Knowledge graph-based tacit knowledge mining and transformation 3 5 2 Construction of causal correlation network for HSMP 3 6 Construction of the lifecycle data management platform for HSMP 3 6 1 Overall architecture of digital thread platform 3 6 2 Specific deployment plan of digital thread platform 3 7 Conclusions References Chapter 4 Quality-Related Distributed Fault Detection Based on QMRSFA 4 1 Review of PRM and SFA Chapter 5 Full Condition Process Monitoring for HSMP Chapter 6 Exergy-Related Process Monitoring with Spatial Information Chapter 7 Exergy-Related Fault Detection and Diagnosis Based on TransCGAN Chapter 8 Distributed CVRAE-Based Spatio-Temporal Process Monitoring Chapter 9 VAE-BAB-based Process Monitoring and Fault Isolation Framework Chapter 10 Robust Fault Classification Based on WGAN and SLN Chapter 11 Extensible Quality-Related Fault Isolation Framework Based on DBPLS Chapter 12 A Novel Fault Detection Method Based on the Extraction of Slow Features for Dynamic Nonstationary Processes Chapter 13 Distributed Quality-Related Process Monitoring Framework Using Parallel DVIB-VAE-mRMR for Large-Scale Processes Chapter 14 Lifecycle Operating Performance Assessment Framework Based on RKCVA Chapter 15 Comprehensive Operating Performance Assessment Based on DSGRU Chapter 16 KPI-Related OPA Framework Based on Distributed ImRMR-KOCTA Chapter 17 Spatiotemporal Synergetic OPA Framework Based on RCM DISSIM Chapter 18 RUL Prediction for A Roller Based on Deep RNN Chapter 19 Cloud-Edge-End Based HSMP Lifecycle Health Management Prototype System 詳細資料或其他書籍請至台灣高等教育出版社查詢,查後請於PChome商店街私訊告知ISBN或書號,我們即儘速上架。 |