Exploring deep hybrid models for large scale data-driven railway switch prognostics

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Keywords	convolutional neural network, prognostics and health management, railway switch maintenance, predictive maintenance, long short-term memory, hybrid model
Thesis Advisor	Punt, Linda, Zegners, Dainis
Persistent URL	hdl.handle.net/2105/75825
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Nissink, Ivo. (2024, August 31). Exploring deep hybrid models for large scale data-driven railway switch prognostics. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/75825

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