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Springer Explainable Anomaly Detection Smart Manufacturing - Industry 5.0

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Description

This comprehensive Springer Series volume explores human-centred explainable anomaly detection for smart manufacturing in Industry 5.0 environments. The book combines theoretical foundations with practical applications and real-world case studies, providing engineers, researchers and industry professionals with essential knowledge for implementing transparent, interpretable anomaly detection systems in modern manufacturing operations. Discover how to integrate explainability into machine learning models that identify manufacturing defects and process anomalies whilst maintaining human oversight and understanding. The content bridges the gap between advanced computational methods and human-readable insights, making it invaluable for organisations transitioning to Industry 5.0 standards.

Key Features

Springer Series in Reliability Engineering publication offering peer-reviewed insights into anomaly detection methodologies for manufacturing environments.

Covers human-centred explainable AI approaches that balance sophisticated detection with transparency and human comprehension.

Includes practical case studies demonstrating real-world application of anomaly detection systems in smart manufacturing facilities.

Addresses Industry 5.0 frameworks that require interpretable machine learning for regulatory compliance and operator trust.

Provides theoretical foundations essential for engineers implementing reliable anomaly detection across production lines and quality control.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 May 2026
Listed Since
04 November 2025

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