Abnormal Detection Strategy in Flight Inspection of Instrument Landing System Using Fuzzy Set Decisions
Rui Qin Yang, Renli Lv, Zhaoyong Meng · 2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT) · 2019
This paper presents an abnormal detection strategy to analysis the inspected parameters of the instrument landing system (ILS). Both the VHF localizer and glide path related parameters are utilized to make the comparisons with the data from other sources, such as GPS and BDS. These comparisons are designed to measure by setting up the possibility measure based model. In this model, fuzzy sets related to ILS precisions are defined. Furthermore, an integrated detection model is proposed, which would quantify the distance between the ILS and the other source data. Meanwhile the possibility measure is presented to quantify the validation of the ILS. Furthermore, the implications of this strategy for practitioners and future work are analyzed.