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

Additional Metadata
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 APA Style APA-ALL Style AAA 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). Exploring deep hybrid models for large scale data-driven railway switch prognostics. In Business Analytics & Management.http://hdl.handle.net/2105/75825

Publication