Frontiers of Industrial Cyber-Physics
暫譯: 工業網路物理的前沿
Kravets, Alla G., Bolshakov, Alexander A., Shcherbakov, Maxim V.
- 出版商: Springer
- 出版日期: 2026-01-03
- 售價: $7,340
- 貴賓價: 9.5 折 $6,973
- 語言: 英文
- 頁數: 314
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032027160
- ISBN-13: 9783032027160
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相關分類:
Machine Learning、機器人製作 Robots
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book represents a comprehensive exploration of the most recent advancements and applications at the intersection of machine learning, cyber-physical systems, and industrial processes. This book is divided into four primary sections, each focusing on distinct yet interconnected themes. The first section, ML-Based Industrial Solutions, highlights the transformative role of machine learning in industrial settings. Topics include the optimization of neural network architectures for atypical load forecasting in power grid cyber-physical systems, the use of vector autoregressive models for analyzing and forecasting consumption indicators, soft sensor-based fault detection and diagnosis in mass transfer processes, and the implementation of ML-based digital twins for predictive diagnostics in thermal power plants. Next, the book turns its attention to cyber-space for equipment reliability. Here, readers will find discussions on software tools for reliability analysis and efficiency assessment of technological equipment, methods for evaluating energy consumption, reliability estimations for automated lines with inter-operational storage devices, and the application of ANFIS network-based fuzzy expert systems for diagnosing power equipment defects. Additionally, this section includes considerations regarding the structure of knowledge models for solving control tasks in plants with parametric uncertainty. The third section, Unmanned Robotics, dives into the exciting world of autonomous systems. It covers topics such as modeling the optimal trajectory of reusable spacecraft entering the Earth's atmosphere, developing new methods for small unmanned helicopter emergency landings in case of onboard equipment failures, robust trajectory tracking control of nonholonomic wheeled mobile robots with external disturbances, and assessing the efficiency of passenger transportation in cyber-transport systems based on unmanned electric cars. Finally, the book concludes with a thorough examination of cybersecurity. The book is an essential resource for researchers, engineers, and professionals engaged in industrial automation, cyber-physical systems, and related disciplines.
商品描述(中文翻譯)
這本書全面探討了機器學習、網路物理系統與工業過程交匯處的最新進展與應用。本書分為四個主要部分,每個部分專注於不同但相互關聯的主題。第一部分,基於機器學習的工業解決方案,突顯了機器學習在工業環境中的變革性角色。主題包括針對電網網路物理系統中非典型負載預測的神經網路架構優化、用於分析和預測消費指標的向量自回歸模型、基於軟感測器的質量傳輸過程故障檢測與診斷,以及基於機器學習的數位雙胞胎在熱電廠預測診斷中的應用。接下來,本書將焦點轉向設備可靠性的網路空間。在這裡,讀者將找到有關技術設備可靠性分析和效率評估的軟體工具的討論、評估能源消耗的方法、自動化生產線與互操作儲存設備的可靠性估算,以及基於ANFIS網路的模糊專家系統在診斷電力設備缺陷中的應用。此外,本部分還包括有關在參數不確定的工廠中解決控制任務的知識模型結構的考量。第三部分,無人機器人,深入探討自主系統的激動人心的世界。它涵蓋了如建模可重複使用太空船進入地球大氣層的最佳軌跡、開發小型無人直升機在機上設備故障時的緊急降落新方法、在外部擾動下的非完整輪式移動機器人的穩健軌跡追蹤控制,以及基於無人電動車的網路運輸系統中乘客運輸效率的評估等主題。最後,本書以對網路安全的深入檢視作結。本書是從事工業自動化、網路物理系統及相關學科的研究人員、工程師和專業人士的重要資源。