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Machine Performance Degradation Assessment eBook

Convex Optimization Models And Their Interpretable Data Fusion Applications

by Tongtong Yan e Dong Wang
language: english
Publisher: ELSEVIER SCIENCE, October of 2025 ‧
182,84€
164,56€
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Machine Performance Degradation Assessment: Convex Optimization Models and Their Interpretable Data Fusion Applications is an essential resource for industry professionals and researchers seeking to understand the latest trends in performance degradation assessment technologies. This comprehensive guide delves into the fundamental theories of convex optimization models while exploring cutting-edge research methods. Readers will gain valuable insights into interpretable data fusion models and their applications, providing practical and theoretical knowledge to advance their understanding of machine performance degradation. In addition to the core mathematical elements, the book includes advanced techniques for formulating degradation properties into convex optimization models for health index construction.Real-world applications and examples demonstrate how these innovative methods can be applied in practice. By presenting novel concepts and analytical frameworks, this book offers fresh perspectives to help readers navigate the complexities of machine performance degradation assessment. - Provides valuable insights on the evolving challenges in machinery performance monitoring and optimization- Includes the background and roadmaps of machine performance degradation assessment technologies, which are described in-depth- Presents real-world applications and examples of practical experience

Machine Performance Degradation Assessment

Convex Optimization Models And Their Interpretable Data Fusion Applications

by Tongtong Yan e Dong Wang

Property Description
ISBN: 9780443440083
Publisher: ELSEVIER SCIENCE
Release Date: October of 2025
Language: English
Format: eBook
File Format and Compatibility:
Categories: eBooks in English > Engineering > Hydraulic Engineering
EAN: 9780443440083
Acessibilidade: Ver características de acessibilidade indicadas pelo editor