Data-Driven Fault Detection and Reasoning for Industrial Monitoring

Explore the innovative world of industrial monitoring with Data-Driven Fault Detection and Reasoning for Industrial Monitoring by Jing Wang. Published in 2022 by Springer Verlag, this first edition spans 264 pages and delves into the transformative power of data-driven methodologies in industrial process monitoring engineering. This open access book provides a comprehensive assessment of how these advanced techniques can enhance fault detection and reasoning in various industrial applications. Ideal for engineers, researchers, and industry professionals, this essential resource offers insights that can lead to improved operational efficiency and reliability. Discover the future of industrial monitoring today!