Background: The Remote Terminal Units (RTUs) in the Distribution Automation System
(DAS) are widely used in the field in recent years. It is lack of sample data in different operation
status that makes the RTU maintenance improper. The weight allocation for the monitoring indicators
in the health status evaluation needs to be identified efficiently and properly.
Methods: A systematic health status assessment indicator system is constructed firstly. Then, a hybrid
indicator weight allocation algorithm based on the Attribute Hierarchy Model (AHM) and grey
relational degree (GRA) is proposed to identify the elementary item in the weight allocation under
small sample condition. The final indicator weight would be dynamically adjusted according to the
equilibrium coefficient, which is determined by the indicator condition parameter.
Results: The simulation results show that the weight allocation can be effectively and reasonably
adjusted according to the indicator value even under small sample condition.
Conclusion: The expert experience and objective data laws are combined and used in our proposed
dynamic weight allocation method. It can be used to assess the health status of RTU in the electrical
power distribution network.