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Data-Driven Methods for Reliability and Safety Engineering: Applications in Industrial Systems: Leveraging AI, Machine Learning, and Advanced Analytics to Enhance Risk Assessment, Decision-Making, and System Performance - Springer Series in Reliability En
Data-Driven Methods for Reliability and Safety Engineering: Applications in Industrial Systems: Leveraging AI, Machine Learning, and Advanced Analytics to Enhance Risk Assessment, Decision-Making, and System Performance - Springer Series in Reliability En
This book provides a comprehensive guide to using data-driven methods in reliability and safety engineering for industrial systems.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | August 15, 2026 |
| ISBN13 | 9783032228727 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 523 |
| Dimensions | 150 × 220 × 20 mm · 815 g (Weight (estimated)) |
| Editor | Feng, Ke |
| Editor | Huang, Hong-Zhong |
| Editor | Li, He |
| Editor | Yazdi, Mohammad |