A Belief Rule-Based Performance Evaluation Model for Complex Systems Considering Sensors Disturbance

Sensor disturbance has a significant impact on the performance state of complex systems in engineering. In this article, a new performance evaluation model for complex systems considering sensor disturbance is proposed. First, belief rule base (BRB) is used as a white-box model to establish a transparent performance evaluation model. To evaluate the influence of disturbance on the performance state, the sensor disturbance is described as an interval and added in the model input. The fluctuation range of the disturbed performance state is calculated. Then, to assist diminish the damage of disturbance on the performance state, the robustness of the sensor is analyzed for two types of tasks with different robustness requirements. In general tasks, the antidisturbance ability of sensors is analyzed based on the sensitivity analysis method. In specific tasks with strong robustness requirements, the disturbance tolerance interval (DTI) of the sensor to tolerate disturbances is calculated by the Newton-downhill method. A gyroscope performance evaluation case is used to verify the effectiveness of the proposed model.