£120.94

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£121 today · previous high £121 · all-time low £116

Springer Control Charts and Machine Learning for Anomaly Detection in Manufacturing

Amazon

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£120.94 £115.33 £116.55 £117.78 £119.00 £120.23 £121.45 12 August 2026 25 August 2026 08 September 2026 21 September 2026 05 October 2026
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Price distribution over 55 days • 3 price levels

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15 days 14 days 26 days · current 0 7 13 20 26 £116 £118 £121 Days at Price

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Most common price: £121 (26 days, 47.3%)

Price range: £116 - £121

Price levels: 3 different prices over 55 days

Description

Discover advanced control chart techniques and machine learning strategies for detecting anomalies in smart manufacturing environments. This Springer Series in Reliability Engineering book bridges statistics and machine learning to address Industry 4.0 challenges, offering practical approaches for modern production systems. The publication equips engineers and researchers with ready-to-use algorithms and parameter sheets to design and implement anomaly detection systems that enhance manufacturing reliability and quality control. Ideal for professionals seeking to integrate statistical process control with contemporary machine learning methods in industrial applications.

Key Features

Combines classical control chart theory with modern machine learning algorithms for comprehensive anomaly detection in manufacturing processes.

Part of Springer's Reliability Engineering series, providing peer-reviewed expertise in industrial quality and process management.

Includes ready-to-use algorithms and parameter sheets that enable immediate implementation of advanced detection approaches.

Addresses Industry 4.0 requirements by integrating statistical and machine learning methodologies for smart manufacturing environments.

Promotes interdisciplinary collaboration between statistics and machine learning research communities for developing robust anomaly detection solutions.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 August 2022
Listed Since
03 August 2022

Barcode

No barcode data available

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