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Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams.

, , , and . IEEE Big Data, page 1866-1873. IEEE, (2022)

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Challenges of Stream Learning for Predictive Maintenance in the Railway Sector., , , and . IoT Streams/ITEM@PKDD/ECML, volume 1325 of Communications in Computer and Information Science, page 14-29. Springer, (2020)Application of TRIZ and Innovation Management Theory on Decision Support for Transport Infrastructure., and . TFC, volume 572 of IFIP Advances in Information and Communication Technology, page 486-493. Springer, (2019)Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams., , , and . IEEE Big Data, page 1866-1873. IEEE, (2022)Exploring the potentials of online machine learning for predictive maintenance: a case study in the railway industry., , , and . Appl. Intell., 53 (24): 29758-29780 (December 2023)Design Entity Recognition for Bio-inspired Design Supervised State of the Art., , , and . TFC, volume 541 of IFIP Advances in Information and Communication Technology, page 3-13. Springer, (2018)Innovative Technical Creativity Methodology for Bio-Inspired Design., , and . TFC, volume 541 of IFIP Advances in Information and Communication Technology, page 253-265. Springer, (2018)An ILP for scheduling rolling stock maintenance activities under operational and logistical constraints., , , , , and . CoDIT, page 1313-1318. IEEE, (2023)