A simulation-based optimization approach evaluating maintenance and spare parts demand interaction effects von Wakiru, J.M, Pintelon, L, Muchiri, P.N, Chemweno, P.K

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Benefits of lubricant oil analysis for maintenance decision support: a case study von Karanović, V V, Jocanović, M T, Wakiru, J M, Orošnjak, M D

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Analysis of lubrication oil towards maintenance grouping for multiple equipment using fuzzy cluster analysis von Wakiru, J M, Pintelon, L, Karanović, V V, Jocanović, M T, Orošnjak, M D

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Impact of exploitation conditions on the types of wear of the excavator slew bearing toothed race von Jocanović, M T, Karanović, V V, Orošnjak, M D, Lukić, D O, Wakiru, J M

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A review on lubricant condition monitoring information analysis for maintenance decision support von Wakiru, James M., Pintelon, Liliane, Muchiri, Peter N., Chemweno, Peter K.

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Electrical Parameters as Diagnostics of Fresh Engine Oil Condition-Correlation with Test Voltage Frequency von Wolak, Artur, Żywica, Ryszard, Molenda, Jarosław, Banach, Joanna Katarzyna

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Correlative Method for Diagnosing Gas-Turbine Tribological Systems von Deliś, Maciej, Kłysz, Sylwester, Przysowa, Radoslaw

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Prediction of RUL of Lubricating Oil Based on Information Entropy and SVM von Liu, Zhongxin, Wang, Huaiguang, Hao, Mingxing, Wu, Dinghai

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Effect of Temperature on the Composition of a Synthetic Hydrocarbon Aviation Lubricating Oil von Gan, Zhuoting, Yao, Ting, Zhang, Meng, Hu, Jianqiang, Liao, Xiaoxiao, Shen, Yongli

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Qualitative Classification of Lubricating Oil Wear Particle Morphology Based on Coaxial Capacitive Sensing Network and SVM von Zhu, Ling, Xiao, Xiangwen, Wu, Diheng, Wang, Yishou, Qing, Xinlin, Xue, Wendong

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Simulation and Optimization Design of Inductive Wear Particle Sensor von Fan, Bin, Wang, Lianfu, Liu, Yong, Zhang, Peng, Feng, Song

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Recent Progress of Machine Learning Algorithms for the Oil and Lubricant Industry von Rahman, Md Hafizur, Shahriar, Sadat, Menezes, Pradeep L.

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A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating Oil von Wang, Yishou, Lin, Tingwei, Wu, Diheng, Zhu, Ling, Qing, Xinlin, Xue, Wendong

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A Permanent Magnet Ferromagnetic Wear Debris Sensor Based on Axisymmetric High-Gradient Magnetic Field von Fan, Bin, Liu, Yong, Zhang, Peng, Wang, Lianfu, Zhang, Chao, Wang, Jianguo

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Cloud Based Fault Diagnosis by Convolutional Neural Network as Time-Frequency RGB Image Recognition of Industrial Machine Vibration with Internet of Things Connectivity von Łuczak, Dominik, Brock, Stefan, Siembab, Krzysztof

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Predictors of Successful Maintenance Practices in Companies Using Fluid Power Systems: A Model-Agnostic Interpretation von Orošnjak, Marko, Beker, Ivan, Brkljač, Nebojša, Vrhovac, Vijoleta

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SHapley Additive exPlanations (SHAP) for Efficient Feature Selection in Rolling Bearing Fault Diagnosis von Santos, Mailson Ribeiro, Guedes, Affonso, Sanchez-Gendriz, Ignacio

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A Wear Debris Signal Processing Method Based on Inductive Monitoring for Aero-Engine von Jiang, Heng, Zuo, Hongfu, Zhong, Zhirong, Guo, Jiachen

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Data-Driven Rotary Machine Fault Diagnosis Using Multisensor Vibration Data with Bandpass Filtering and Convolutional Neural Network for Signal-to-Image Recognition von Łuczak, Dominik

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Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing von Jasiulewicz-Kaczmarek, Małgorzata, Antosz, Katarzyna, Wyczółkowski, Ryszard, Mazurkiewicz, Dariusz, Sun, Bo, Qian, Cheng, Ren, Yi

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