24 October 2016
Our cohort 1 researchers Dimitris and Adrian attended the 14th International Conference on Manufacturing Research (6-8 September 2016, Loughborough) (http://www.icmr.org.uk/) where they had the opportunity to present their paper entitled “An application of autoregressive hidden Markov models for identifying machine operations”. The paper introduces a novel application area for a well-proven machine learning algorithm, aiming at intelligent monitoring of energy consumption of production machines. The proposed method will facilitate the rescheduling of production operations with reduced energy waste and can result in significant electricity cost savings for the industry.
This work is part of a bigger picture project undertaken by the Intelligent Systems research group, following the European Union 2020 directives to improve the energy efficiency by 20% and reduce greenhouse gases by the same percentage, compared to the 1990 levels. The group also participated with two more papers in the conference, outlining their work on component traceability under the aspect of the upcoming Industrie 4.0.
Our researchers’ work was presented under the thematic area of advanced manufacturing technology, while researchers from leading universities and research institutes from all over the country presented advances in a range of topics such as additive manufacturing, product design and manufacturing materials. Being UK’s main manufacturing research conference for over 30 years, ICMR 2016 was a great opportunity for networking and forming of cross-disciplinary collaborations. The conference concluded with a JCB factory tour in Rochester.