RMCRC-UTS Scholarships - Big Data Analytics for Condition Based Monitoring and Maintenance

Project Member(s): Zhang, J., Wu, Q.

Funding or Partner Organisation: Rail Manufacturing Cooperative Research Centre (RMCRC) (Railway Manufacturing Cooperative Research Centre Ltd)
Rail Manufacturing Cooperative Research Centre (RMCRC) (Railway Manufacturing Cooperative Research Centre Ltd)

Start year: 2017

Summary: This PhD project will develop data analytics technologies through necessary data relation discovery procedure to assist deep data analysis. The analysis results will be part of recommendation for condition based maintenance (CB<) for railway track maintenance.

Publications:

Li, Z, Zhang, J, Gong, Y, Yao, Y & Wu, Q 1970, 'Field-wise learning for multi-field categorical data', Advances in Neural Information Processing Systems, Conference on Neural Information Processing Systems, On-line.

Li, Z, Zhang, J, Wu, Q, Gong, Y, Yi, J & Kirsch, C 1970, 'Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points', Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, Anchorage AK USA, pp. 2848-2856.
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Huang, H, Xu, J, Zhang, J, Wu, Q & Kirsch, C 1970, 'Railway Infrastructure Defects Recognition using Fine-grained Deep Convolutional Neural Networks', 2018 Digital Image Computing: Techniques and Applications (DICTA), 2018 Digital Image Computing: Techniques and Applications (DICTA), IEEE, Canberra, Australia.
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Li, Z, Zhang, J, Wu, Q & Kirsch, C 1970, 'Field-Regularised Factorization Machines for Mining the Maintenance Logs of Equipment', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Joint Conference on Artificial Intelligence, Springer International Publishing, New Zealand, pp. 172-183.
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Guo, D, Xu, J, Zhang, J, Xu, M, Cui, Y & He, X 2017, 'User relationship strength modeling for friend recommendation on Instagram', Neurocomputing, vol. 239, pp. 9-18.
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Zhao, Y, Di, H, Zhang, J, Lu, Y, Lv, F & Li, Y 2017, 'Region-based Mixture Models for human action recognition in low-resolution videos', Neurocomputing, vol. 247, pp. 1-15.
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Zhang, W, Du, T & Wang, J 2016, 'Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction'.

FOR Codes: Pattern Recognition and Data Mining, Information Processing Services (incl. Data Entry and Capture), Data engineering and data science, Information systems, technologies and services not elsewhere classified