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Sangje Cho
Sangje Cho
Verified email at purdue.edu
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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
502018
A semantic-driven approach for industry 4.0
S Cho, G May, D Kiritsis
2019 15th international conference on distributed computing in sensor …, 2019
282019
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
242019
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
182017
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
112018
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
102016
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
72022
Ontology for Strategies and Predictive Maintenance models
S Cho, M Hildebrand-Ehrhardt, G May, D Kiritsis
IFAC-PapersOnLine 53 (3), 257-264, 2020
72020
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
62016
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
52022
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
52014
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
42020
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
42015
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
42014
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
32018
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
32014
LNG FPSO 펌프타워 고장 예지 방안에 관한 연구
김용재, 조상제, 전홍배, 하정훈, 신종호
한국 CDE 학회 논문집 21 (2), 111-121, 2016
12016
해양플랜트 LNG FPSO 압축기의 신뢰성 및 회귀분석 기반 고장시점 추정 방법
조상제, 전홍배, 신종호, 최상덕
한국 CDE 학회 논문집 19 (3), 203-213, 2014
12014
해양플랜트 LNG FPSO Compressor 장비의 예지 시스템 개발에 관한 연구
조상제, 전홍배
한국 CDE 학회 학술발표회 논문집, 304-309, 2014
12014
? 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
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