Detecting Faults During Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-90700-6_25
Reference11 articles.
1. Aronson, R., et al.: Data-driven classification of screwdriving operations. In: Kulić, D., Nakamura, Y., Khatib, O., Venture, G. (eds.) ISER 2016. SPAR, vol. 1, pp. 244–253. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-50115-4_22
2. Blanke, M., Kinnaert, M., Lunze, J., Staroswiecki, M.: Diagnosis and Fault-Tolerant Control, 3rd edn. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-47943-8
3. Cheng, X., Jia, Z., Bhatia, A., Aronson, R.M., Mason, M.T.: Sensor selection and stage result classifications for automated miniature screwdriving. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6078–6085 (2018)
4. Emmott, A., Das, S., Dietterich, T., Fern, A., Wong, W.K.: Systematic construction of anomaly detection benchmarks from real data. In: Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description, pp. 16–21, August 2013
5. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770–778 (2016)
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