The invention provides a rail wagon brake shoe fault detection method based on deep learning. The rail wagon brake shoe fault detection method comprises the following steps: acquiring a train image to be detected; constructing a brake shoe fault data set, wherein the fault data set is divided into a training set, a verification set and a test set; constructing a target detection and fault identification network by using a deep learning technology; pre-training the target detection and fault identification network on a public data set, and optimizing network parameters as a final algorithm model; and applying the algorithm model to the railway wagon to detect the brake shoe fault. Compared with a traditional railway wagon brake shoe fault detection algorithm, the method can overcome the problems of picture illumination conditions, shooting angles and the like, and has high robustness and accuracy; meanwhile, the fault can be accurately identified and positioned only by using a single-stage target detection method through a confrontation training method and the improvement of a Fusion structure, the real-time performance and the accuracy of detection are considered, and the labor intensity of detection personnel is reduced.
本发明提供一种基于深度学习的铁路货车闸瓦故障检测方法,包括以下步骤:采集待检测的列车图像;构建闸瓦故障数据集:故障数据集分为训练集、验证集和测试集;使用深度学习技术,构建目标检测及故障识别网络;在公开数据集上对所述目标检测及故障识别网络进行预训练,优化网络参数作为最终的算法模型;将算法模型应用于铁路货车中对闸瓦故障进行检测。与传统的铁路货车闸瓦故障检测算法相比,本发明可以克服图片光照条件、拍摄角度等问题,拥有较高的鲁棒性和准确度;同时本发明通过对抗训练的方法和Fusion结构的改进,仅使用单阶段目标检测的方法即可将故障准确的识别与定位,兼顾了检测的实时性和准确度,减少检测人员劳动强度。
Railway wagon brake shoe fault detection method based on deep learning
一种基于深度学习的铁路货车闸瓦故障检测方法
2022-04-26
Patent
Electronic Resource
Chinese
IPC: | G06V / B61H Bremsen oder andere Verzögerungseinrichtungen ausgebildet für Schienenfahrzeuge , BRAKES OR OTHER RETARDING APPARATUS PECULIAR TO RAIL VEHICLES / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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