Tool Wear Condition Monitoring Method Based on Deep Learning with Force Signals by Yaping Zhang, Xiaozhi Qi, Tao Wang, Yuanhang He

“…Tool wear condition monitoring is an important component of mechanical processing automation, and accurately identifying the wear status of tools can improve processing quality and production efficiency. …”
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A Data-Driven Approach for Condition Monitoring of Wind Turbine Pitch Systems by Cong Yang, Zheng Qian, Yan Pei, Lu Wei

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A Method for Health Indicator Evaluation for Condition Monitoring of Industrial Robot Gears by Corbinian Nentwich, Gunther Reinhart

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An End-to-End, Real-Time Solution for Condition Monitoring of Wind Turbine Generators by Adrian Stetco, Juan Melecio Ramirez, Anees Mohammed, Siniša Djurović, Goran Nenadic, John Keane

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Train Wheel Condition Monitoring via Cepstral Analysis of Axle Box Accelerations by Benjamin Baasch, Judith Heusel, Michael Roth, Thorsten Neumann

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Hybrid Condition Monitoring for Power Converters: Learning-Based Methods With Statistical Guarantees by Nikola Markovic, Thomas Stoetzel, Volker Staudt, Dorothea Kolossa

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Optimal Preventive Maintenance of Wind Turbine Components with Imperfect Continuous Condition Monitoring by Ahmed Raza, Vladimir Ulansky

Subjects: “…condition monitoring…”
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Transmission Condition Monitoring of 3D Printers Based on the Echo State Network by Shaohui Zhang, Kun He, Diego Cabrera, Chuan Li, Yun Bai, Jianyu Long

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Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating Sensors by Chuliang Wei, Qin Xin, W. H. Chung, Shun-yee Liu, Hwa-yaw Tam, S. L. Ho

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Oil condition monitoring, an AI application study using the Classification Learner Technics by G Grebenişan, N Salem, S Bogdan, D C Negrău

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Condition Monitoring of Ball Bearings Based on Machine Learning with Synthetically Generated Data by Matthias Kahr, Gabor Kovács, Markus Loinig, Hubert Brückl

Subjects: “…condition monitoring…”
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Wind turbine condition monitoring based on double‐layer ensemble KNN method by Shuyao Zhang, Kezhen Huang, Changliang Liu, Wenwen Tian, Shuai Liu

Subjects: “…condition monitoring…”
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Generator condition monitoring method based on SAE and multi-source data fusion by Chao Xing, Xinze Xi, Xin He, Mingqun Liu

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Special Issue on Machine Condition Monitoring and Fault Diagnosis: From Theory to Application by Feiyun Cong

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Condition Monitoring System and Faults Detection for Impedance Bonds from Railway Infrastructure by Mihai Andrusca, Maricel Adam, Alin Dragomir, Eduard Lunca, Ramakrishna Seeram, Octavian Postolache

“…Nowadays, sensors and condition monitoring systems are expanding rapidly and becoming cheaper. …”
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Road condition monitoring using unsupervised learning based bus trajectory processing by Pruthvish Rajput, Manish Chaturvedi, Vivek Patel

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Condition monitoring method for marine engine room equipment based on machine learning by Ruihan WANG, Hui CHEN, Cong GUAN

“…ObjectivesIn order to realize the intelligent condition monitoring of marine engine room equipment, machine learning algorithms are introduced and a condition monitoring method based on manifold learning and an isolation forest is proposed.MethodsAs condition-monitoring data is multi-dimensional, the proposed method extracts useful features through manifold learning, thereby reducing the dimensions and complexity of the raw data. …”
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Condition Monitoring of Industrial Equipment Based on Multi-Variables State Estimate Technique by Dongteng Long, Heng Zheng, Feng Hong

Subjects: “…condition monitoring…”
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Feature relevance estimation for vibration-based condition monitoring of an internal combustion engine by José Alberto Hernández-Muriel, Andrés Marino Álvarez-Meza, Julián David Echeverry-Correa, Álvaro Ángel Orozco-Gutierrez, Mauricio Alexánder Álvarez-López

“…Condition monitoring of Internal Combustion Engines (ICE) benefits cost-effective operations in the modern industrial sector. …”
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eyeDNA : Tool Condition Monitoring for a desktop CNC milling machine by Ajilo, Deborah (Deborah M.)

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