Real-time diagnostic power: learn how an expert system identifies plant disturbances fast and accurately.
This nonfiction guide summarizes MIDAS, a real-time diagnostic framework for electric power plants. It explains how monitors, a process model, and an event interpreter work together to detect, explain, and track faults as they occur.
What you’ll experience
- A clear view of how sensors and residuals feed a structured diagnostic model to spot abnormal events.
- How recorded events, hypothesized root causes, and inferred malfunctions are created and connected.
- The role of time-stamped events in maintaining a truthful, reversible record of a disturbance’s course.
- The way the system uses appraisal and prediction to assess current and future risks.
Ideal for readers of reliability engineering and process diagnostics in power systems, this edition grounds theory in detailed architecture and practical workflows.