Nuclear Engineering Commons^™

Development Of A Data Driven Multiple Observer And Causal Graph Approach For Fault Diagnosis Of Nuclear Power Plant Sensors And Field Devices, Ke Zhao

Masters Theses

Data driven multiple observer and causal graph approach to fault detection and isolation is developed for nuclear power plant sensors and actuators. It can be integrated into the advanced instrumentation and control system for the next generation nuclear power plants.

The developed approach is based on analytical redundancy principle of fault diagnosis. Some analytical models are built to generate the residuals between measured values and expected values. Any significant residuals are used for fault detection and the residual patterns are analyzed for fault isolation.

Advanced data driven modeling methods such as Principal Component Analysis and Adaptive Network Fuzzy Inference System …