Fault Dictionary Based Optimal Sensor Allocation Strategy Considering Fault Undetectability

With the increasing complexity of equipment systems, the requirements for testability design are becoming more demanding. This paper proposes using an integer-encoded fault dictionary as the testability model, integrating fault propagation and test detectability for sensor allocation. The proposed approach is carried out in three main steps. First, an integer-encoded fault dictionary model is developed to represent the relationship between faults and tests. Second, the model’s ability to diagnose faults is evaluated by defining the performance index, which considers fault propagation and the detectability of tests. Third, the Discrete Cuckoo Search (DCS) algorithm is applied to optimize the sensor allocation based on the defined performance index. Experimental results demonstrate that this approach can achieve more accurate testability models under imperfect conditions, thereby enhancing fault diagnosis performance.