Bernard Schmidt

Doktorand i inform.teknologi

Institutionen för ingenjörsvetenskap

Kontaktuppgifter

• E-post
• bernard.schmidt@his.se

• Arbete
• 0500-448547

• Rum
• PA220A

Experience

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.

Publikationer

• 2018
  Diagnosis of machine tools: assessment based on double ball-bar measurements from a population of similar machines
  Schmidt Bernard, Gandhi Kanika, Wang Lihui
  51st 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 Bernard
  Doktorsavhandling: 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.
• 2017
  Active collision avoidance for human-robot collaboration driven by vision sensors
  Mohammed Abdullah, Schmidt Bernard, Wang Lihui
  International 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 Lihui
  Journal of manufacturing science and engineering, 2017, 139(5).
• Semantic Framework for Predictive Maintenance in a Cloud Environment
  Schmidt Bernard, Wang Lihui, Galar Diego
  10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '16 (583-588). Elsevier, 2017.
• 2016
  Big Data in Asset Management: Knowledge Discovery in Asset Data by the Means of Data Mining
  Galar Diego, Kans Mirka, Schmidt Bernard
  Proceedings 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 Lihui
  Euromaintenance 2016 ConferenceProceedings (503-512). 2016.

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