@article{WelteEstlerLucke2020,
  author    = {Welte, Rebecca and Estler, Manfred and Lucke, Dominik},
  title     = {A method for implementation of machine learning solutions for predictive maintenance in small and medium sized enterprises},
  journal   = {Procedia CIRP},
  volume    = {93},
  issn      = {2212-8271},
  doi       = {10.1016/j.procir.2020.04.052},
  institution = {NXT Nachhaltigkeit und Technologie},
  pages     = {909 -- 914},
  year      = {2020},
  abstract  = {In recent years, machine learning algorithms have made a huge development in performance and applicability in industry and especially maintenance. Their application enables predictive maintenance and thus offers efficiency increases. However, a successful implementation of such solutions still requires high effort in data preparation to obtain the right information, interdisciplinarity in teams as well as a good communication to employees. Here, small and medium sized enterprises (SME) often lack in experience, competence and capacity. This paper presents a systematic and practice-oriented method for an implementation of machine learning solutions for predictive maintenance in SME, which has already been validated.},
  language  = {en}
}