Detection reliability based on quantification of human and environmental factors

The establishment of aircraft inspection intervals requires the support of detection reliability, but the evaluation of detection reliability is influenced by many factors during the detection process. Among them, human and environment have the characteristics of multi-dimensional indicators and difficulty in quantifying their levels, making it difficult to quantitatively model them. Based on the quantitative evaluation for the impact of two types of factors using HF factors, a detection reliability model considering the impact of human and environment was established to address this issue. Firstly, feature analysis was conducted on the HF factors and its mathematical model was proposed based on A400M detection data. At the same time, verification was carried out using detection test data that considered work experience and operational lighting. Next, the comprehensive quantification for the levels of two types of factors was carried out through fuzzy comprehensive evaluation. On this basis, a mapping relationship between the comprehensive quantification results and the HF factor model was established. Finally, an application analysis was conducted using visual inspection data of flat plate cracks, verifying the applicability and effectiveness of the model. The proposed detection reliability model has the potential to reduce experimental costs while ensuring the accuracy of the results.