Intelligent System for Railway Wheelset Press-Fit Inspection Using Deep Learning
نویسندگان
چکیده
Railway wheelsets are the key to ensuring safe operation of trains. To achieve zero-defect production, railway equipment manufacturers must strictly control every link in wheelset production process. The press-fit curve output by assembly machine is an essential indicator wheelset’s quality. operators will still need manually and individually recheck curves our practical case. However, there many uncertainties manual inspection. For example, subjective judgment can easily cause inconsistent results between different inspectors, or probability human misinterpretation increase as working hours increase. Therefore, this study proposes intelligent inspection system based on deep learning, which improves reliability efficiency solve severe imbalance number collected images, establishes a predicted model quality Siamese network. Our experimental show that precision measurement outstanding for testing dataset contained 3863 qualified images 28 unqualified curves. proposed serve successful case paradigm shift from traditional manufacturing digital manufacturing.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app11178243