Chapter 1 Background
1.1 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
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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
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