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Fatigue crack prognosis using Bayesian probabilistic modelling von WANG, Wenyi, HU, Weiping, ARMSTRONG, Nicholas

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Innovative method of empirical mode decomposition as spatial tool for structural damage identification von Reddy, D. Mallikarjuna, Krishna, Praveen, Sathesa

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Updating Finite Element Model Using Stochastic Subspace Identification Method and Bees Optimization Algorithm von Alimouri, Pouyan, Moradi, Shapour, Chinipardaz, Rahim

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Machine Learning Applications in Optical Fiber Sensing: A Research Agenda von Reyes-Vera, Erick, Valencia-Arias, Alejandro, García-Pineda, Vanessa, Aurora-Vigo, Edward Florencio, Alvarez Vásquez, Halyn, Sánchez, Gustavo

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Real-time unified single- and multi-channel structural damage detection using recursive singular spectrum analysis von Bhowmik, Basuraj, Krishnan, Manu, Hazra, Budhaditya, Pakrashi, Vikram

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A dual lane piezoelectric ring bender actuated nozzle-flapper servo valve for aero engine fuel metering von Bertin, Michael, Plummer, Andrew, Bowen, Chris, Johnston, Nigel, Griffiths, Mike, Bickley, Dan

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On-line monitoring of wind-induced stresses and fatigue damage in instrumented structures von Hernandez, Eric M., Bernal, Dionisio, Caracoglia, Luca

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Synchronized wireless sensors for aircraft structural health monitoring von Fu, Hailing, Khodaei, Zahra Sharif, Aliabadi, M. H. Ferri

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Analytical Prediction of Stability Lobes for Passively Damped Boring Bars von Fallah, M., Moetakef-Imani, B.

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A Critical Overview of the “Filterbank-Feature-Decision” Methodology in Machine Condition Monitoring von Antoni, Jérôme

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David J. Ewins. 25 March 1942—25 January 2023 von Cawley FRS, Peter

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Vibration Energy Harvesting: A Bibliometric Analysis of Research Trends and Challenges von Al-Quaishi, Helal, Lu, Caijiang, Alani, W. K.

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Dynamic analysis of effect of progressive crack and variation in center distance on vibration of spur gears von Barot, Ami, Kulkarni, Pravin

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Remaining useful life estimation of a Product von Murali Krishna, K, Janardhan Reddy, Dr K

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Application analysis of machine learning in fault diagnosis: A bibliometric analysis von Tu, Wenyan, Fang, Ji, He, Yihua, Huang, Jin

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Analysis of hot spots and trends in rolling bearing fault diagnosis research based on scientific knowledge mapping von Chen, Bin, Zhao, Yang, Zhang, Yuteng, Jiang, Yuyan, Zhang, Hongliang, Pan, Haiyang

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