A hybrid machine learning approach for predictive maintenance in smart factories of the future S Cho, G May, I Tourkogiorgis, R Perez, O Lazaro, B de La Maza, ... Advances in Production Management Systems. Smart Manufacturing for Industry …, 2018 | 49 | 2018 |
A semantic-driven approach for industry 4.0 S Cho, G May, D Kiritsis 2019 15th international conference on distributed computing in sensor …, 2019 | 29 | 2019 |
Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach LM Maiyar, SJ Cho, MK Tiwari, KD Thoben, D Kiritsis International Journal of Production Research 57 (10), 3099-3120, 2019 | 25 | 2019 |
Heuristic algorithms for maximising the total profit of end-of-life computer remanufacturing SJ Cho, HB Jun, D Kiritsis International Journal of Production Research 55 (5), 1350-1367, 2017 | 18 | 2017 |
Predictive maintenance platform based on integrated strategies for increased operating life of factories G May, N Kyriakoulis, K Apostolou, S Cho, K Grevenitis, S Kokkorikos, ... Advances in Production Management Systems. Smart Manufacturing for Industry …, 2018 | 11 | 2018 |
A study on estimating the next failure time of compressor equipment in an offshore plant SJ Cho, JH Shin, HB Jun, HJ Hwang, C Ha, J Hwang Mathematical problems in Engineering 2016, 2016 | 10 | 2016 |
Ontology for Strategies and Predictive Maintenance models S Cho, M Hildebrand-Ehrhardt, G May, D Kiritsis IFAC-PapersOnLine 53 (3), 257-264, 2020 | 8 | 2020 |
A semantic model in the context of maintenance: a predictive maintenance case study G May, S Cho, AH Majidirad, D Kiritsis Applied Sciences 12 (12), 6065, 2022 | 7 | 2022 |
A Study on Fault Prediction Method in a Pump Tower of LNG FPSO Y Kim, SJ Cho, HB Jun, C Ha, J Shin Korean Journal of Computational Design and Engineering 21 (2), 111-121, 2016 | 6 | 2016 |
Toward a reference terminology for product-service systems in the manufacturing domain G May, S Cho, AT Correia, R Siafaka, D Stokic, D Kiritsis Computers in Industry 142, 103729, 2022 | 5 | 2022 |
A Study on the development of prognosis system for LNG FPSO compressor equipment SJ Cho, HB Jun Proceedings of the Society of CAD/CAM Engineers Conference, 304-309, 2014 | 5 | 2014 |
A predictive maintenance approach toward industry 4.0 machines S Cho, G May, D Kiritsis Engineering Assets and Public Infrastructures in the Age of Digitalization …, 2020 | 4 | 2020 |
A study on the development of prognosis system for offshore plant equipment SJ Cho, HB Jun, JH Shin, HJ Hwang, CH Ha ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-15-042, 2015 | 4 | 2015 |
A study on estimating the next failure time of a compressor in LNG FPSO SJ Cho, HB Jun, JH Shin, HJ Hwang Journal of the Society of Korea Industrial and Systems Engineering 37 (4), 12-23, 2014 | 4 | 2014 |
Maintenance Planning Support Tool Based on Condition Monitoring with Semantic Modeling of Systems A Reina, SJ Cho, G May, E Coscia, J Cassina, D Kiritsis Enterprise Interoperability: Smart Services and Business Impact of …, 2018 | 3 | 2018 |
A study on the prognosis maintenance algorithm for LNG FPSO compressor SJ Cho, HB Jun, SD Choi, JH Shin Proceedings of Scientific Cooperations Workshops on Engineering Branches …, 2014 | 3 | 2014 |
LNG FPSO 펌프타워 고장 예지 방안에 관한 연구 김용재, 조상제, 전홍배, 하정훈, 신종호 한국 CDE 학회 논문집 21 (2), 111-121, 2016 | 1 | 2016 |
해양플랜트 LNG FPSO 압축기의 신뢰성 및 회귀분석 기반 고장시점 추정 방법 조상제, 전홍배, 신종호, 최상덕 한국 CDE 학회 논문집 19 (3), 203-213, 2014 | 1 | 2014 |
해양플랜트 LNG FPSO Compressor 장비의 예지 시스템 개발에 관한 연구 조상제, 전홍배 한국 CDE 학회 학술발표회 논문집, 304-309, 2014 | 1 | 2014 |
? Correspondence to: E-mail address:(G. May). 1 Address:. 2 G May, S Cho, AT Correia, R Siafaka, D Stokic, D Kiritsis COMPUTERS IN INDUSTRY 142, 2022 | | 2022 |