Visual Analytics for Process Monitoring : From Time Series to Interpretable Visual Representations (Synthesis Lectures on Emerging Engineering Technologies)

Yousef, Ibrahim/ Shah, Sirish L./ Goplauni, R. Bhushan

Springer, Berlin; Springer（2026/08発売）

• 製本 Hardcover:ハードカバー版
• 商品コード 9783032221254

Full Description

In the era of big data, process industries face the challenge of analyzing massive and complex data to extract information for effective process monitoring. This book introduces a novel paradigm called visual analytics. Visual analytics transforms chronological process data into visual formats to uncover patterns. This paradigm allows process experts to relate visual patterns to operational conditions and, consequently, support informed decision-making.

The book explores three pathways within the visual analytics paradigm: (i) feature engineering, in which predefined mappings are used to convert time series data into visual representations; (ii) architecture engineering, which develops neural network architectures to directly learn visual representations; and (iii) data engineering, which employs contrastive learning to highlight differences and similarities in the data without relying on annotations.

Contents

Chapter 1: Introduction to Visual Analytics.- Chapter 2: Evaluation Benchmarks.- Chapter 3:  Visual Analytics Pathway I: Feature Engineering.- Chapter 4: Visual Analytics Pathway II: Architecture Engineering.- Chapter 5:  Visual Analytics Pathway III: Data Engineering.- Chapter 6: Conclusion.