Covers recent developments in predictive maintenance algorithms and methods for dynamic systems
Discusses challenges in application domains such as IoT, cyber security, and renewable energy
Includes detailed studies on early fault diagnosis, remaining useful life prediction, and self-healing techniques
Provides real-world case studies and applications across various industrial and technological systems
Focuses on updating system and maintenance models in real-time for optimal predictive power
Summarized by Shop
This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It sho