Data-Driven Fault Detection and Reasoning for Industrial Monitoring

by Jing Wang

This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery,...

• Format: Hardcover
• Language: English
• ISBN: 9811680434
• ISBN13: 9789811680434
• Release Date: January 2022
• Publisher: Springer
• Length: 264 Pages
• Weight: 1.27 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"