An Adjustable Functional Regression Model for Real-time Degradation Prognostic Under Incomplete Data Scenarios - researchr publication authors

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K. G. Zhang, L. Cao, X. Q. Xing, T. B. Xia, Z. Chen, Ershun Pan, L. F. Xi. An Adjustable Functional Regression Model for Real-time Degradation Prognostic Under Incomplete Data Scenarios. In IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, Singapore, December 18-21, 2023. pages 1442-1446, IEEE, 2023. [doi]

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