Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0: Theories, Applications and Case Studies
暫譯: 以人為中心的可解釋異常檢測在工業5.0智慧製造中的應用:理論、應用與案例研究

Tran, Kim Phuc

  • 出版商: Springer
  • 出版日期: 2026-05-20
  • 售價: $8,140
  • 貴賓價: 9.5$7,733
  • 語言: 英文
  • 頁數: 198
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032136563
  • ISBN-13: 9783032136565
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

商品描述

This book systematically presents the application of Human-Centered Explainable Anomaly Detection (HCXAD) in Smart Manufacturing (SM). This book addresses HCXAD as an approach that places the human at the center of technology design, aiming to bridge the gap between Explainable AI (XAI) and its real-world impact. The book will also cover the applications of HCXAD in SM, including predictive maintenance, cybersecurity of Industrial Internet of Things (IIoT) systems, fault detection, and reliability analysis for manufacturing processes. It will introduce readers to the latest theoretical research, technological developments, and practical applications of HCXAD, addressing the current challenges and opportunities in Smart Manufacturing. Additionally, the book will provide ready-to-use algorithms for readers and practitioners, tailored to several potential HCXAD applications in SM. Case studies will be presented in each chapter to help readers and practitioners easily apply these tools to real-world Smart Manufacturing processes.

商品描述(中文翻譯)

本書系統性地介紹以人為中心的可解釋異常檢測(Human-Centered Explainable Anomaly Detection, HCXAD)在智慧製造(Smart Manufacturing, SM)中的應用。本書將HCXAD視為一種將人置於技術設計中心的方式,旨在彌合可解釋人工智慧(Explainable AI, XAI)與其在現實世界影響之間的鴻溝。本書還將涵蓋HCXAD在智慧製造中的應用,包括預測性維護、工業物聯網(Industrial Internet of Things, IIoT)系統的網路安全、故障檢測以及製造過程的可靠性分析。它將向讀者介紹HCXAD的最新理論研究、技術發展和實際應用,並探討智慧製造中的當前挑戰和機會。此外,本書將為讀者和實務工作者提供即用的演算法,針對智慧製造中幾個潛在的HCXAD應用進行量身定制。每章將呈現案例研究,以幫助讀者和實務工作者輕鬆將這些工具應用於現實世界的智慧製造過程中。

作者簡介

Dr. habil. Kim Phuc Tran is a Senior Associate Professor (Maître de Conférences HDR) at ENSAIT - University of Lille, France, and Senior Researcher at the GEMTEX Laboratory. He also serves as Founding Director of the International Chair in Data Science & Explainable AI at Dong A University (Vietnam).

His research focuses on Industrial AI, Explainable and Federated Learning, Edge Intelligence, and Hybrid Modeling (Physics & Data), with applications spanning Smart Manufacturing, Healthcare, and Energy Systems.
He has authored over 75 international publications, edited several Springer volumes, and serves on editorial boards including IEEE Transactions on Intelligent Transportation Engineering Applications of Artificial Intelligence.

作者簡介(中文翻譯)

Dr. habil. Kim Phuc Tran 是法國里爾大學 (University of Lille)的高級副教授 (Maître de Conférences HDR),同時也是GEMTEX 實驗室的高級研究員。他還擔任越南東亞大學 (Dong A University)國際數據科學與可解釋人工智慧講座創始主任

他的研究重點包括工業人工智慧 (Industrial AI)可解釋學習與聯邦學習 (Explainable and Federated Learning)邊緣智能 (Edge Intelligence)以及混合建模 (Hybrid Modeling, 物理與數據),應用範圍涵蓋智慧製造 (Smart Manufacturing)醫療保健 (Healthcare)能源系統 (Energy Systems)。他已發表超過75篇國際論文,編輯多本Springer書籍,並擔任包括IEEE Transactions on Intelligent Transportation EngineeringApplications of Artificial Intelligence等期刊的編輯委員會成員。