Ingénierie, informatique & technologie: Multidisciplinaire, généralités & autres Ingénierie mécanique
Auteur, co-auteur :
OROSNJAK, Marko ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) ; Department of Industrial Engineering and Engineering Management, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, 21000, Serbia
Beker, I.
Brkljač, N.
Vrhovac, V.
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Predictors of Successful Maintenance Practices in Companies Using Fluid Power Systems: A Model-Agnostic Interpretation
Date de publication/diffusion :
2024
Titre du périodique :
Applied sciences (Basel, Switzerland)
ISSN :
2076-3417
Maison d'édition :
Multidisciplinary Digital Publishing Institute (MDPI)
Ministry of Science, Technological Development and Innovation
N° du Fonds :
451-03-65/2024-03/200156
Subventionnement (détails) :
This research has been supported by the Ministry of Science, Technological Development and Innovation (Contract No. 451-03-65/2024-03/200156), and the Faculty of Technical Sciences, University of Novi Sad, through the project \u201CScientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences, University of Novi Sad\u201D (No. 01-3394/1).
Nurprihatin F. Angely M. Tannady H. Total Productive Maintenance Policy to Increase Effectiveness and Maintenance Performance Using Overall Equipment Effectiveness J. Appl. Res. Ind. Eng. 2019 6 184 199 10.22105/jarie.2019.199037.1104
Pires S.d.P. Sénéchal O. Deschamps F. Loures E.R. Perroni M.G. Industrial Maintenance for Sustainable Performance: A Systematic Literature Review Proceedings of the 23rd International Conference on Production Research Manila, Philippines 2–5 August 2015
Roda C. Voisin I. Miranda A. Macchi S. Iung M. Sustainable Maintenance Performances and EN 15341: 2019: An Integration Proposal Springer Berlin/Heidelberg, Germany 2021
Werbińska-Wojciechowska S. Winiarska K. Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review Sensors 2023 23 1409 10.3390/s23031409 36772449
Orošnjak M. Brkljač N. Šević D. Čavić M. Oros D. Penčić M. From Predictive to Energy-Based Maintenance Paradigm: Achieving Cleaner Production through Functional-Productiveness J. Clean. Prod. 2023 408 137177 10.1016/j.jclepro.2023.137177
Jasiulewicz-Kaczmarek M. The Role of Ergonomics in Implementation of the Social Aspect of Sustainability, Illustrated with the Example of Maintenance Occupational Safety and Hygiene CRC Press Boca Raton, FL, USA 2013 61 66
Jasiulewicz-Kaczmarek M. Antosz K. Industry 4.0 Technologies for Maintenance Management—An Overview Proceedings of the International Conference Innovation in Engineering Minho, Portugal 28–30 June 2022 Lecture Notes in Mechanical Engineering Springer Science and Business Media Deutschland GmbH Berlin/Heidelberg, Germany 2022 68 79
Karuppiah K. Sankaranarayanan B. Ali S.M. On Sustainable Predictive Maintenance: Exploration of Key Barriers Using an Integrated Approach Sustain. Prod. Consum. 2021 27 1537 1553 10.1016/j.spc.2021.03.023
Turner C. Okorie O. Oyekan J. XAI Sustainable Human in the Loop Maintenance Proceedings of the IFAC-PapersOnLine Casablanca, Morocco 29 June–1 July 2022 Elsevier B.V. Amsterdam, The Netherlands 2022 Volume 55 67 72
Franciosi C. Di Pasquale V. Iannone R. Miranda S. A Taxonomy of Performance Shaping Factors for Human Reliability Analysis in Industrial Maintenance J. Ind. Eng. Manag. 2019 12 115 132 10.3926/jiem.2702
Orošnjak M. Šević D. Benchmarking Maintenance Practices for Allocating Features Affecting Hydraulic System Maintenance: A West-Balkan Perspective Mathematics 2023 11 3816 10.3390/math11183816
Sari E. Shaharoun A.M. Ma’aram A. Yazid A.M. Sustainable Maintenance Performance Measures: A Pilot Survey in Malaysian Automotive Companies Procedia CIRP 2015 26 443 448 10.1016/j.procir.2014.07.163
Orosnjak M. Maintenance Practice Performance Assessment of Hydraulic Machinery: West Balkan Meta-Statistics and Energy-Based Maintenance Paradigm Proceedings of the 2021 5th International Conference on System Reliability and Safety (ICSRS) Palermo, Italy 24–26 November 2021 IEEE Piscataway, NJ, USA 108 114
Judijanto L. Uhai S. Suri I. The Influence of Business Analytics and Big Data on Predictive Maintenance and Asset Management Eastasouth J. Inf. Syst. Comput. Sci. 2024 1 123 135 10.58812/esiscs.v1i03.243
Díaz-Reza J. García-Alcaraz J. Avelar-Sosa L. Mendoza-Fong J. Sáenz Diez-Muro J. Blanco-Fernández J. The Role of Managerial Commitment and TPM Implementation Strategies in Productivity Benefits Appl. Sci. 2018 8 1153 10.3390/app8071153
Orošnjak M. Delić M. Ramos S. Influence of Maintenance Practice on MTBF of Industrial and Mobile Hydraulic Failures: A West Balkan Study Machine and Industrial Design in Mechanical Engineering Springer Cham, Switzerland 2022 617 625
Pineda J.P. Case Study: Characterizing Life Expectancy Drivers across Countries Using Model-Agnostic Interpretation Methods for Black-Box Models Available online: https://rpubs.com/JoPaPi/1066511 (accessed on 28 May 2024)
Greenacre M. Groenen P.J.F. Hastie T. D’Enza A.I. Markos A. Tuzhilina E. Publisher Correction: Principal Component Analysis Nat. Rev. Methods Primers 2023 3 22 10.1038/s43586-023-00209-y
Peres-Neto P.R. Jackson D.A. Somers K.M. Giving Meaningful Interpretation to Ordination Axes: Assessing Loading Significance in Principal Component Analysis Ecology 2003 84 2347 2363 10.1890/00-0634
Bro R. Smilde A.K. Principal Component Analysis Anal. Methods 2014 6 2812 2831 10.1039/C3AY41907J
Abdi H. Williams L.J. Principal Component Analysis WIREs Comput. Stat. 2010 2 433 459 10.1002/wics.101
Chandrvanshi S. Sharma S. Singh M.P. Singh R. Bearing Fault Diagnosis Using Machine Learning Models Micro-Electronics and Telecommunication Engineering Springer Cham, Switzerland 2024 219 233
Cui B. Weng Y. Zhang N. A Feature Extraction and Machine Learning Framework for Bearing Fault Diagnosis Renew. Energy 2022 191 987 997 10.1016/j.renene.2022.04.061
Cartocci N. Napolitano M.R. Crocetti F. Costante G. Valigi P. Fravolini M.L. Data-Driven Fault Diagnosis Techniques: Non-Linear Directional Residual vs. Machine-Learning-Based Methods Sensors 2022 22 2635 10.3390/s22072635
Olive D.J. Multiple Linear Regression Linear Regression Springer International Publishing Cham, Switzerland 2017 17 83
James G. Witten D. Hastie T. Tibshirani R. Taylor J. Linear Regression An Introduction to Statistical Learning Springer Cham, Switzerland 2023 69 134
Abu Amra I.A. Maghari A.Y.A. Students Performance Prediction Using KNN and Naïve Bayesian Proceedings of the 2017 8th International Conference on Information Technology (ICIT) Amman, Jordan 17–18 May 2017 IEEE Piscataway, NJ, USA 2017 909 913
Lu J. Qian W. Li S. Cui R. Enhanced K-Nearest Neighbor for Intelligent Fault Diagnosis of Rotating Machinery Appl. Sci. 2021 11 919 10.3390/app11030919
Lu Q. Shen X. Wang X. Li M. Li J. Zhang M. Fault Diagnosis of Rolling Bearing Based on Improved VMD and KNN Math. Probl. Eng. 2021 2021 2530315 10.1155/2021/2530315
Gyamerah S.A. Ngare P. Ikpe D. Probabilistic Forecasting of Crop Yields via Quantile Random Forest and Epanechnikov Kernel Function Agric. Meteorol. 2020 280 107808 10.1016/j.agrformet.2019.107808
Sun Y. Peng G. Developing Area Real Estate Valuation Based on Linear Regression and KNN Algorithm Proceedings of the 2022 6th Annual International Conference on Data Science and Business Analytics (ICDSBA) Changsha, China 14–18 October 2022 IEEE Piscataway, NJ, USA 2022 38 42
Kherif O. Benmahamed Y. Teguar M. Boubakeur A. Ghoneim S.S.M. Accuracy Improvement of Power Transformer Faults Diagnostic Using KNN Classifier With Decision Tree Principle IEEE Access 2021 9 81693 81701 10.1109/ACCESS.2021.3086135
Xueli W. Zhiyong J. Dahai Y. An Improved KNN Algorithm Based on Kernel Methods and Attribute Reduction Proceedings of the 2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC) Qinhuangdao, China 18–20 September 2015 IEEE Piscataway, NJ, USA 2015 567 570
Bailey T.M. Convergence of Rprop and Variants Neurocomputing 2015 159 90 95 10.1016/j.neucom.2015.02.016
Anastasiadis A.D. Magoulas G.D. Vrahatis M.N. New Globally Convergent Training Scheme Based on the Resilient Propagation Algorithm Neurocomputing 2005 64 253 270 10.1016/j.neucom.2004.11.016
Hinz T. Navarro-Guerrero N. Magg S. Wermter S. Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks Int. J. Comput. Intell. Appl. 2018 17 1850008 10.1142/S1469026818500086
Toma R.N. Prosvirin A.E. Kim J.-M. Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers Sensors 2020 20 1884 10.3390/s20071884
Shakiba F.M. Azizi S.M. Zhou M. Abusorrah A. Application of Machine Learning Methods in Fault Detection and Classification of Power Transmission Lines: A Survey Artif. Intell. Rev. 2023 56 5799 5836 10.1007/s10462-022-10296-0
Kumar P. Hati A.S. Review on Machine Learning Algorithm Based Fault Detection in Induction Motors Arch. Comput. Methods Eng. 2021 28 1929 1940 10.1007/s11831-020-09446-w
Donnelly N. Cunningham A. Salas S.M. Bracher-Smith M. Chawner S. Stochl J. Ford T. Raymond F.L. Escott-Price V. van den Bree M.B.M. Identifying the Neurodevelopmental and Psychiatric Signatures of Genomic Disorders Associated with Intellectual Disability: A Machine Learning Approach Mol. Autism 2023 14 19 10.1186/s13229-023-00549-2 37221545
Éliás S. Wrzodek C. Deane C.M. Tissot A.C. Klostermann S. Ros F. Prediction of Polyspecificity from Antibody Sequence Data by Machine Learning Front. Bioinform. 2024 3 1286883 10.3389/fbinf.2023.1286883 38651055
Farahani H. Blagojević M. Azadfallah P. Watson P. Esrafilian F. Saljoughi S. Feature Selection in AP An Introduction to Artificial Psychology Springer International Publishing Cham, Switzerland 2023 187 205
Van Horenbeek A. Pintelon L. Muchiri P. Maintenance Optimization Models and Criteria Int. J. Syst. Assur. Eng. Manag. 2010 1 189 200 10.1007/s13198-011-0045-x
Sellke T. Bayarri J.M. Berger J.O. Calibration of p Values for Testing Precise Null Hypotheses Am. Stat. 2001 55 62 71 10.1198/000313001300339950
Vovk V.G. A Logic of Probability, with Application to the Foundations of Statistics J. R. Stat. Soc. Ser. B Stat. Methodol. 1993 55 317 351 10.1111/j.2517-6161.1993.tb01904.x
Orošnjak M. Jocanović M. Karanović V. Applying Contamination Control for Improved Prognostics and Health Management of Hydraulic Systems Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies Springer Cham, Switzerland 2020 583 596
Wakiru J.M. Pintelon L. Karanović V.V. Jocanović M.T. Orošnjak M.D. Analysis of Lubrication Oil towards Maintenance Grouping for Multiple Equipment Using Fuzzy Cluster Analysis IOP Conf. Ser. Mater. Sci. Eng. 2018 393 012011 10.1088/1757-899X/393/1/012011
Postnikov S.E. Trofimov A.A. Baikov S.V. Architecture Options Estimate for the Near-Medium-Haul Aircraft Control System by the Reliability, Mass and Power Consumption Criteria Aerosp. Syst. 2019 2 33 40 10.1007/s42401-018-0017-9
Santos A.C.d.J. Cavalcante C.A.V. Wu S. Maintenance Policies and Models: A Bibliometric and Literature Review of Strategies for Reuse and Remanufacturing Reliab. Eng. Syst. Saf. 2023 231 108983 10.1016/j.ress.2022.108983
Jasiulewicz-Kaczmarek M. Legutko S. Kluk P. Maintenance 4.0 Technologies—New Opportunities for Sustainability Driven Maintenance Manag. Prod. Eng. Rev. 2020 11 74 87 10.24425/mper.2020.133730
