鉄道車両床下機器外観の自動検査手法

（実車両の長期間撮影と異常模擬による診断性能評価）

抄録

The authors developed an imaging system and a diagnostic algorithm for automated visual inspection of underfloor equipment on passenger rail vehicles. The developed imaging system was installed for testing in a railway yard and recorded many images of rolling stock passing in front of the system for about a year. The system also recorded images of a test train simulating various visual anomalies on the underfloor equipment. The developed diagnostic algorithm was applied to the recorded images to evaluate its diagnostic performance. The results revealed the types of anomalies that can be detected by the proposed algorithm, and the influence of sunlight and rainfall on the diagnostic performance.