Operation and Maintenance Engineering

Operation and Maintenance Engineering deals with the development of methodologies, models and tools to ensure high system dependability and efficient and effective maintenance processes for both new and existing systems

The subject area of Operation and Maintenance Engineering is multidisciplinary in nature, transcending the boundaries and separating many disciplines of science, emerging technology and arts. The activities of the Division are aligned towards finding synergies with other engineering disciplines and building networks with many active research groups, locally and worldwide. The Division has been successful in obtaining grants from EU and Swedish Research funding agencies like VINNOVA and SSF. The Division has launched an International Journal of System Assurance Engineering and Management published by Springer. The establishment of SKF- University Technology Center for advanced condition monitoring has provided the Division with a much needed platform for the development of predictive technology. Besides, two eMaintenance Labs are functioning at LTU and LKAB, Kiruna; a Condition Monitoring Lab has been established at the Division. The Division is fully competent and equipped technologically to undertake research work in the emerging areas of big data, predictive and prescriptive analytics.

With the increasing awareness among the industry and academia that maintenance ensures safe and sustainable performance and creates additional value for the business process, the Division has been working collaboratively with industries, academic and research partners.

Alireza Ahmadi, professor of Operation and Maintenance

Photo: Tomas Bergman

Behzad Ghodrati, Professor in Operation and Maintenance Engineering

Photo: Tomas Bergman

Abhinav Saxena, Adjunct Professor in Operation and Maintenance Engineering

Abhinav Saxena, adjungerad professor i drift och underhållsteknik
se.ltu.edge.util.diva.DivaLocalizedItem@688572b9
Thaduri. A, Famurewa. S, Verma. A, Kumar. U
Part of: System Performance and Management Analytics
se.ltu.edge.util.diva.DivaLocalizedItem@3ef79507
Jena. J, Verma. A, Kumar. U, Ajit. S
Part of: System Performance and Management Analytics
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