Digital twin : a dynamic system and computing perspective /: a dynamic system and computing perspective. (2023)

• Record Type: Book
• Further Information: Note: Ranjan Ganguli, Sondipon Adhikari, Souvik Chakraborty, Mrittika Ganguli.
• Authors: Ganguli, Ranjan; Adhikari, Sondipon; Chakraborty, Souvik; Ganguli, Mrittika
• Contents: Chapter 1 Introduction and Background; 1.1 Introduction; 1.2 Modeling and Simulation; 1.3 Sensors and Actuators; 1.4 Signal Processing; 1.5 Estimation Algorithms; 1.6 Industry 4.0; 1.7 Applications Chapter 2 Computing and Digital Twin; 2.1 Digital Twin Use cases and the Internet of things (IOT); 2.2 Edge Computing; 2.3 Telecom and 5G; 2.4 Cloud; 2.5 Big Data; 2.6 Google Tensorow; 2.7 Blockchain and digital twin Chapter 3 Dynamic Systems; 3.1 Single-degree-of-freedom undamped systems; 3.2 Single-degree-of-freedom viscously damped systems; 3.3 Multiple-degree-of-freedom undamped systems; 3.4 Proportionally damped systems; 3.5 Non-proportionally damped systems; 3.6 Summary Chapter 4 Stochastic Analysis; 4.1 Probability theory; 4.2 Reliability; 4.3 Simulation methods in UQ and reliability; 4.4 Robustness Chapter 5 Digital Twin of Dynamic Systems; 5.1 Dynamic model of the digital twin; 5.2 Digital twin via sti ness evolution; 5.3 Digital twin via mass evolution; 5.4 Digital twin via mass and sti ness evolution; 5.5 Discussions; 5.6 Summary Chapter 6 Machine learning and Surrogate Models; 6.1 Analysis of Variance Decomposition; 6.2 Polynomial Chaos Expansion; 6.3 Support Vector Machines; 6.4 Neural Networks; 6.5 Gaussian Process; 6.6 Hybrid polynomial correlated function expansion Chapter 7 Surrogate based digital twin of dynamic system; 7.1 The dynamic model of the digital twin; 7.2 Overview of Gaussian process emulators; 7.3 Gaussian process based digital twin; 7.4 Discussion; 7.5 Summary Chapter 8 Digital Twin at Multiple Time Scales; 8.1 The problem statement; 8.2 Digital twin for multi-timescale dynamical systems; 8.3 Illustration of the proposed framework; 8.4 Summary Chapter 9 Digital twin of nonlinear MDOF systems; 9.1 Physics based nominal model; 9.2 Bayesian ltering algorithm; 9.3 Supervised machine learning algorithm; 9.4 High delity predictive model; 9.5 Examples
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2023
• Extent: 1 online resource (256 pages), illustrations (black and white)
• Subjects: 006.3; Digital twins (Computer simulation); Cooperating objects (Computer systems)
• Languages: English
• ISBNs: 9781000829372; 9781000829297
• Related ISBNs: 9781032213620
• Notes: Note: Description based on CIP data; resource not viewed.
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