Статті в журналах з теми "MAINTENANCE PREDICTION"
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Marshall, David F. "Language Maintenance and Revival." Annual Review of Applied Linguistics 14 (March 1994): 20–33. http://dx.doi.org/10.1017/s0267190500002798.
Повний текст джерелаXu, Peng, Rengkui Liu, Quanxin Sun, and Futian Wang. "A Novel Short-Range Prediction Model for Railway Track Irregularity." Discrete Dynamics in Nature and Society 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/591490.
Повний текст джерелаNansamba, Salmah, and Hadi Harb. "Developing a Neural Network Based Fault Prediction Tool for a Solar Power Plant in Uganda." Transactions on Machine Learning and Artificial Intelligence 10, no. 6 (December 28, 2022): 52–70. http://dx.doi.org/10.14738/tmlai.106.13645.
Повний текст джерелаKang, Ziqiu, Cagatay Catal, and Bedir Tekinerdogan. "Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks." Sensors 21, no. 3 (January 30, 2021): 932. http://dx.doi.org/10.3390/s21030932.
Повний текст джерелаFitra Azyus, Adryan, Sastra Kusuma Wijaya, and Mohd Naved. "Determining RUL Predictive Maintenance on Aircraft Engines Using GRU." Journal of Mechanical, Civil and Industrial Engineering 3, no. 3 (December 11, 2022): 79–84. http://dx.doi.org/10.32996/jmcie.2022.3.3.10.
Повний текст джерелаD., Ganga, and Ramachandran V. "Adaptive prediction model for effective electrical machine maintenance." Journal of Quality in Maintenance Engineering 26, no. 1 (April 18, 2019): 166–80. http://dx.doi.org/10.1108/jqme-12-2017-0087.
Повний текст джерелаTong, Guoqiang, Xinbo Qian, and Yilai Liu. "Prognostics and Predictive Maintenance Optimization Based on Combination BP-RBF-GRNN Neural Network Model and Proportional Hazard Model." Journal of Sensors 2022 (April 29, 2022): 1–17. http://dx.doi.org/10.1155/2022/8655669.
Повний текст джерелаRodrigues, Joao, Jose Torres Farinha, and Antonio Marques Cardoso. "Predictive Maintenance Tools – A Global Survey." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 16 (January 22, 2021): 96–109. http://dx.doi.org/10.37394/23203.2021.16.7.
Повний текст джерелаGibiec, Mariusz. "Prediction of Machines Health with Application of an Intelligent Approach – a Mining Machinery Case Study." Key Engineering Materials 293-294 (September 2005): 661–68. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.661.
Повний текст джерелаZhu, Ya Hong, Ji Ping Cao, Wen Xia Sun, Yang Tao Fan, and Zhi Hui Zhao. "Demand Forecasting Model Based on Equipment Maintenance Resources in Virtual Warehousing." Applied Mechanics and Materials 556-562 (May 2014): 5442–49. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5442.
Повний текст джерелаSong, Weixing, Jingjing Wu, Jianshe Kang, and Jun Zhang. "Research on maintenance spare parts requirement prediction based on LSTM recurrent neural network." Open Physics 19, no. 1 (January 1, 2021): 618–27. http://dx.doi.org/10.1515/phys-2021-0072.
Повний текст джерелаYang, Jia, Yongkui Sun, Yuan Cao, and Xiaoxi Hu. "Predictive Maintenance for Switch Machine Based on Digital Twins." Information 12, no. 11 (November 22, 2021): 485. http://dx.doi.org/10.3390/info12110485.
Повний текст джерелаSegovia-Muñoz, D., X. Serrano-Guerrero, and A. Barragán-Escandon. "Predictive maintenance in LED street lighting controlled with telemanagement system to improve current fault detection procedures using software tools." Renewable Energy and Power Quality Journal 20 (September 2022): 379–86. http://dx.doi.org/10.24084/repqj20.318.
Повний текст джерелаNordal, Helge, and Idriss El-Thalji. "Lifetime Benefit Analysis of Intelligent Maintenance: Simulation Modeling Approach and Industrial Case Study." Applied Sciences 11, no. 8 (April 13, 2021): 3487. http://dx.doi.org/10.3390/app11083487.
Повний текст джерелаChen, Lei, Lijun Wei, Wenlong Li, Junhui Wang, and Dongyang Han. "Fault Prediction of Mechanical Equipment Based on Hilbert–Full-Vector Spectrum and TCDAN." Applied Sciences 13, no. 8 (April 7, 2023): 4655. http://dx.doi.org/10.3390/app13084655.
Повний текст джерелаMbembati, Hadija, Kwame Ibwe, and Baraka Maiseli. "Maintenance Automation Architecture and Electrical Equipment Fault Prediction Method in Tanzania Secondary Distribution Networks." Tanzania Journal of Science 47, no. 3 (August 15, 2021): 1138–53. http://dx.doi.org/10.4314/tjs.v47i3.23.
Повний текст джерелаOnawumi, A. S., A. Aremu, O. A. Ajiboso, O. O. Agboola, T. M. A. Olayanju, and C. O. Osueke. "Development of strategic maintenance prediction model for critical equipment maintenance." Materials Today: Proceedings 44 (2021): 2820–27. http://dx.doi.org/10.1016/j.matpr.2020.12.1163.
Повний текст джерелаGómez-Pau, Álvaro, Jordi-Roger Riba, and Manuel Moreno-Eguilaz. "Time Series RUL Estimation of Medium Voltage Connectors to Ease Predictive Maintenance Plans." Applied Sciences 10, no. 24 (December 17, 2020): 9041. http://dx.doi.org/10.3390/app10249041.
Повний текст джерелаKarimpour, Mostafa, Lalith Hitihamillage, Najwa Elkhoury, Sara Moridpour, and Reyhaneh Hesami. "Fuzzy Approach in Rail Track Degradation Prediction." Journal of Advanced Transportation 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/3096190.
Повний текст джерелаYang, Dezhen, Yidan Cui, Quan Xia, Fusheng Jiang, Yi Ren, Bo Sun, Qiang Feng, Zili Wang, and Chao Yang. "A Digital Twin-Driven Life Prediction Method of Lithium-Ion Batteries Based on Adaptive Model Evolution." Materials 15, no. 9 (May 6, 2022): 3331. http://dx.doi.org/10.3390/ma15093331.
Повний текст джерелаMIZUTANI, YOSHIKATSU. "Trial of warfarin maintenance dose prediction." Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics 26, no. 1 (1995): 177–78. http://dx.doi.org/10.3999/jscpt.26.177.
Повний текст джерелаLangeron, Yves, Mitra Fouladirad, and Antoine Grall. "Controlled systems, failure prediction and maintenance." IFAC-PapersOnLine 49, no. 12 (2016): 805–8. http://dx.doi.org/10.1016/j.ifacol.2016.07.873.
Повний текст джерелаMaktoubian, Jamal, Mohammad Sadegh Taskhiri, and Paul Turner. "Intelligent Predictive Maintenance (IPdM) in Forestry: A Review of Challenges and Opportunities." Forests 12, no. 11 (October 29, 2021): 1495. http://dx.doi.org/10.3390/f12111495.
Повний текст джерелаPeng, Cheng, Yufeng Chen, Qing Chen, Zhaohui Tang, Lingling Li, and Weihua Gui. "A Remaining Useful Life Prognosis of Turbofan Engine Using Temporal and Spatial Feature Fusion." Sensors 21, no. 2 (January 8, 2021): 418. http://dx.doi.org/10.3390/s21020418.
Повний текст джерелаPeng, Cheng, Yufeng Chen, Qing Chen, Zhaohui Tang, Lingling Li, and Weihua Gui. "A Remaining Useful Life Prognosis of Turbofan Engine Using Temporal and Spatial Feature Fusion." Sensors 21, no. 2 (January 8, 2021): 418. http://dx.doi.org/10.3390/s21020418.
Повний текст джерелаLiu, Li, Zhihui Zhang, Zhijian Qu, and Adrian Bell. "Remaining Useful Life Prediction for a Catenary, Utilizing Bayesian Optimization of Stacking." Electronics 12, no. 7 (April 6, 2023): 1744. http://dx.doi.org/10.3390/electronics12071744.
Повний текст джерелаAl-Refaie, Abbas, Banan Abu Hamdieh, and Natalija Lepkova. "Prediction of Maintenance Activities Using Generalized Sequential Pattern and Association Rules in Data Mining." Buildings 13, no. 4 (April 3, 2023): 946. http://dx.doi.org/10.3390/buildings13040946.
Повний текст джерелаTARIK, Mouna, Ayoub MNIAI, and Khalid JEBARI. "HYBRID FEATURE SELECTION AND SUPPORT VECTOR MACHINE FRAMEWORK FOR PREDICTING MAINTENANCE FAILURES." Applied Computer Science 19, no. 2 (June 30, 2023): 112–24. http://dx.doi.org/10.35784/acs-2023-18.
Повний текст джерелаAlmazaideh, Mohammed, and Janos Levendovszky. "A predictive maintenance system for wireless sensor networks: a machine learning approach." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 2 (February 1, 2022): 1047. http://dx.doi.org/10.11591/ijeecs.v25.i2.pp1047-1058.
Повний текст джерелаCao, Qiushi, Ahmed Samet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, and Christoph Reich. "Combining chronicle mining and semantics for predictive maintenance in manufacturing processes." Semantic Web 11, no. 6 (October 29, 2020): 927–48. http://dx.doi.org/10.3233/sw-200406.
Повний текст джерелаHosseini, Seyed Amirhossein, and Omar Smadi. "How Prediction Accuracy Can Affect the Decision-Making Process in Pavement Management System." Infrastructures 6, no. 2 (February 11, 2021): 28. http://dx.doi.org/10.3390/infrastructures6020028.
Повний текст джерелаde Solminihac, Hernán, Marcelo G. Bustos, Aníbal L. Altamira, and Juan Pablo Covarrubias. "Functional distress modelling in Portland cement concrete pavements." Canadian Journal of Civil Engineering 30, no. 4 (August 1, 2003): 696–703. http://dx.doi.org/10.1139/l03-016.
Повний текст джерелаKoprinkova-Hristova, P. "Reinforcement Learning for Predictive Maintenance of Industrial Plants." Information Technologies and Control 11, no. 1 (March 1, 2013): 21–28. http://dx.doi.org/10.2478/itc-2013-0004.
Повний текст джерелаCustode, Leonardo Lucio, Hyunho Mo, Andrea Ferigo, and Giovanni Iacca. "Evolutionary Optimization of Spiking Neural P Systems for Remaining Useful Life Prediction." Algorithms 15, no. 3 (March 19, 2022): 98. http://dx.doi.org/10.3390/a15030098.
Повний текст джерелаAlsolai, Hadeel, and Marc Roper. "The Impact of Ensemble Techniques on Software Maintenance Change Prediction: An Empirical Study." Applied Sciences 12, no. 10 (May 22, 2022): 5234. http://dx.doi.org/10.3390/app12105234.
Повний текст джерелаVelimirović, Lazar Z., Radmila Janković, Jelena D. Velimirović, and Aleksandar Janjić. "Wastewater Plant Reliability Prediction Using the Machine Learning Classification Algorithms." Symmetry 13, no. 8 (August 18, 2021): 1518. http://dx.doi.org/10.3390/sym13081518.
Повний текст джерелаBettig, Bernhard P., and Ray P. S. Han. "Predictive Maintenance Using the Rotordynamic Model of a Hydraulic Turbine-Generator Rotor." Journal of Vibration and Acoustics 120, no. 2 (April 1, 1998): 441–48. http://dx.doi.org/10.1115/1.2893849.
Повний текст джерелаAbidi, Mustufa Haider, Muneer Khan Mohammed, and Hisham Alkhalefah. "Predictive Maintenance Planning for Industry 4.0 Using Machine Learning for Sustainable Manufacturing." Sustainability 14, no. 6 (March 14, 2022): 3387. http://dx.doi.org/10.3390/su14063387.
Повний текст джерелаWang, Youdao, and Yifan Zhao. "Multi-Scale Remaining Useful Life Prediction Using Long Short-Term Memory." Sustainability 14, no. 23 (November 24, 2022): 15667. http://dx.doi.org/10.3390/su142315667.
Повний текст джерелаChui, Kwok Tai, Brij B. Gupta, and Pandian Vasant. "A Genetic Algorithm Optimized RNN-LSTM Model for Remaining Useful Life Prediction of Turbofan Engine." Electronics 10, no. 3 (January 25, 2021): 285. http://dx.doi.org/10.3390/electronics10030285.
Повний текст джерелаKaya, Ertuğrul, Daniele Farioli, and Matteo Strano. "FEA Approach for Wear and Damage Prediction of Tools for the Progressive Die Stamping of Steel Washers." Key Engineering Materials 926 (July 22, 2022): 1168–77. http://dx.doi.org/10.4028/p-15186x.
Повний текст джерелаSresakoolchai, Jessada, and Sakdirat Kaewunruen. "Track Geometry Prediction Using Three-Dimensional Recurrent Neural Network-Based Models Cross-Functionally Co-Simulated with BIM." Sensors 23, no. 1 (December 30, 2022): 391. http://dx.doi.org/10.3390/s23010391.
Повний текст джерелаMarinelli, Marina, Sergios Lambropoulos, and Kleopatra Petroutsatou. "Earthmoving trucks condition level prediction using neural networks." Journal of Quality in Maintenance Engineering 20, no. 2 (May 6, 2014): 182–92. http://dx.doi.org/10.1108/jqme-09-2012-0031.
Повний текст джерелаFeng, Jianshe, Haoshu Cai, Zongchang Liu, and Jay Lee. "A Systematic Framework for Maintenance Scheduling and Routing for Off-Shore Wind Farms by Minimizing Predictive Production Loss." E3S Web of Conferences 233 (2021): 01063. http://dx.doi.org/10.1051/e3sconf/202123301063.
Повний текст джерелаPaprocka, Iwona, Wojciech M. Kempa, Krzysztof Kalinowski, and Cezary Grabowik. "A Production Scheduling Model with Maintenance." Advanced Materials Research 1036 (October 2014): 885–90. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.885.
Повний текст джерелаCaricato, A., A. Ficarella, and L. Spada Chiodo. "Prognostic techniques for aeroengine health assessment and Remaining Useful Life estimation." E3S Web of Conferences 312 (2021): 11017. http://dx.doi.org/10.1051/e3sconf/202131211017.
Повний текст джерелаGopikuttan, Lasithan Lasyam, Shouri Puthan Veettil, and Rajesh Vazhayil Govindan. "Maintenance Initiation Prediction Incorporating Vibrations and System Availability." Advances in Technology Innovation 7, no. 3 (March 11, 2022): 181–94. http://dx.doi.org/10.46604/aiti.2022.8618.
Повний текст джерелаMilad, Abdalrhman Abrahim, Sayf A. Majeed, and Nur Izzi Md Yusoff. "Comparative Study of Utilising Neural Network and Response Surface Methodology for Flexible Pavement Maintenance Treatments." Civil Engineering Journal 6, no. 10 (October 1, 2020): 1895–905. http://dx.doi.org/10.28991/cej-2020-03091590.
Повний текст джерелаYeh, Chia-Hung, Min-Hui Lin, Chien-Hung Lin, Cheng-En Yu, and Mei-Juan Chen. "Machine Learning for Long Cycle Maintenance Prediction of Wind Turbine." Sensors 19, no. 7 (April 8, 2019): 1671. http://dx.doi.org/10.3390/s19071671.
Повний текст джерелаHORII, Masafumi, and Tadashi FUKUDA. "Pavement Ice Prediction System in Winter Maintenance." Doboku Gakkai Ronbunshu, no. 669 (2001): 243–51. http://dx.doi.org/10.2208/jscej.2001.669_243.
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