Institutionen för ingenjörsvetenskap
I have been working at the University of Skövde since 2011. In May 2018 I finalised my PhD at the University of Skövde in the area of Predictive Maintenance.
I received M.Sc. in Automatics and Robotics from AGH University of Science and Technology (Cracow, Poland) in 2005. After that I worked one year as a Teaching Assistant at the AGH and for 5 years in a company that delivers software and services for condition monitoring.
Diagnosis of machine tools: assessment based on double ball-bar measurements from a population of similar machinesSchmidt Bernard, Gandhi Kanika, Wang Lihui51st CIRP Conference on Manufacturing Systems (1327-1332). 2018.
Energy-efficient robot applications towards sustainable manufacturing
Wang Lihui, Mohammed Abdullah, Wang Xi Vincent et al.International journal of computer integrated manufacturing (Print), 2018, 31(8), 692-700.
Toward Predictive Maintenance in a Cloud Manufacturing Environment: A population-wide approach
Schmidt BernardDoktorsavhandling: University of Skövde, 2018. [Hämta fulltext]
Towards data mining based decision support in manufacturing maintenance
Gandhi Kanika, Schmidt Bernard, Ng Amos H. C.51st CIRP Conference on Manufacturing Systems (261-265). Elsevier, 2018.
Active collision avoidance for human-robot collaboration driven by vision sensorsMohammed Abdullah, Schmidt Bernard, Wang LihuiInternational journal of computer integrated manufacturing (Print), 2017, 30(9), 970-980.
Context preparation for predictive analytics – a case from manufacturing industry
Schmidt Bernard, Gandhi Kanika, Wang Lihui et al.Journal of Quality in Maintenance Engineering, 2017, 23(3), 341-354.
Energy-Efficient Robot Configuration for Assembly
Mohammed Abdullah, Schmidt Bernard, Wang LihuiJournal of manufacturing science and engineering, 2017, 139(5).
Semantic Framework for Predictive Maintenance in a Cloud Environment
Schmidt Bernard, Wang Lihui, Galar Diego10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '16 (583-588). Elsevier, 2017.
Big Data in Asset Management: Knowledge Discovery in Asset Data by the Means of Data MiningGalar Diego, Kans Mirka, Schmidt BernardProceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015) (161-171). Springer, 2016.
Big data in maintenance decision support systems: aggregation of disparate data types
Schmidt Bernard, Galar Diego, Wang LihuiEuromaintenance 2016 ConferenceProceedings (503-512). 2016.