Table of Contents

• A Distributed Fault Detection and Estimation for Formation of Clusters of Small SatellitesAilin Barzegar, Afshin Rahimi 0002. 1-11 [doi]
• Reliable Thermal Monitoring of Electric Machines through Machine LearningPanagiotis Kakosimos. 12-19 [doi]
• Towards a Deep Reinforcement Learning based approach for real time decision making and resource allocation for Prognostics and Health Management applicationsRicardo Ludeke, P. Stephan Heyns. 20-29 [doi]
• Deep Learning-Based Virtual Metrology in Multivariate Time SeriesSiho Han, Jihwan Min, Jui Ma, Gyuil Hwang, Taeyeong Heo, Young Eun Kim, Sungjin Kang, Hyojun Kim, Sangjong Park, Kisuk Sung. 30-37 [doi]
• Age Feature Enhanced Neural Network for RUL Estimation of Power Electronic DevicesZhonghai Lu, Rui Shi, Chao Guo, Mingrui Liu. 38-47 [doi]
• Discovering Depressurization Events in Service Difficulty Reports using Machine LearningNobal B. Niraula, Hai Nguyen, Jennifer Kansal, Sean Hafner, Logan Branscum, Eric Brown, Ricardo Garcia. 48-52 [doi]
• Robust Contrastive Learning and Multi-shot Voting for High-dimensional Multivariate Data-driven PrognosticsKaiji Sun, Sindri Magnússon, Olof Steinert, Tony Lindgren. 53-60 [doi]
• Using Digital Twins for CBM+ and RAMS Decision SupportVincent Mendoza, Johnny Morgan, Marlene Haag. 61-66 [doi]
• Exploring the Use of PHM for Software System Security and ResilienceRajesh Murthy. 67-72 [doi]
• Bearing compound fault diagnosis based on enhanced variational mode extraction algorithmChaoang Xiao, Jianbo Yu, Pu Yang, Shang Yue, Ruixu Zhou, Peilun Liu. 73-78 [doi]
• Fault State Prediction Model of Repaired Equipment Considering Maintenance EffectJiahui Wang, Lin Ma, Ankang Chen, Qiannan Liu, Mingshun Ma. 79-88 [doi]
• A causal graph-based framework for satellite health monitoringJie Meng, Jiji Cai, Liang Chang. 89-98 [doi]
• Generative Adversarial Network for State of Health Estimation of Lithium-ion BatteriesZhuang Ye, Jianbo Yu, Pu Yang, Shang Yue, Ruixu Zhou, Mingyan Ma. 99-104 [doi]
• Intelligent fault diagnosis of rolling bearing based on a deep transfer learning networkZhenghong Wu, Hongkai Jiang, Sicheng Zhang, Xin Wang, Haidong Shao, Haoxuan Dou. 105-111 [doi]
• Selective Domain Adaptation Network for Lithium-ion Battery Health MonitoringMengqi Miao, Jianbo Yu, Pu Yang, Shang Yue, Ruixu Zhou. 112-118 [doi]
• Convolutional Neural Networks for Gas Turbine Exhaust Gas Temperature and Power PredictionsThiagarajan Ravichandran 0001, Yuan Liu, Amar Kumar, Alka Srivastava. 119-127 [doi]
• Application of Machine Learning for Anomaly Detection in Printed Circuit Boards Imbalance Date SetMehrnaz Mirzaei, Marzieh Hashemzadeh Sadat, Farnoosh Naderkhani. 128-133 [doi]
• A Reinforcement Learning Algorithm for Optimal Dynamic Policies of Joint Condition-based Maintenance and Condition-based ProductionHasan Rasay, Fariba Azizi, Mehrnaz Salmani, Farnoosh Naderkhani. 134-138 [doi]
• Accurate Material Characterization of Wideband RF Signals via Registration-based Curve Fitting Model using Microstrip Transmission LineSubrata Mukherjee, Deepak Kumar, Obaid Elshafiey, Lalita Udpa, Yiming Deng. 139-145 [doi]
• Bearing fault detection and fault size estimation using an integrated PVDF transducerAli Safian, Xihui Liang. 146-152 [doi]
• Mitigating Electrical Losses Through a Programmable Smart Energy Advanced Metering Infrastructure SystemDaniel O. Williams, Zhaojun Steven Li, Afsaneh Ghanavati. 153-157 [doi]
• Angular measurement with a gear wheel as a material measure - Extension as absolute sensorYanik Koch, Michel Fett, Eckhard Kirchner. 158-165 [doi]
• Gear Fault Diagnosis Based on Short-time Fourier Transform and Deep Residual Network under Multiple Operation ConditionsHaoyuan Shen, Xueyi Wang, Liqun Fu, Jiawei Xiong. 166-171 [doi]
• An ensemble of convolution-based methods for fault detection using vibration signalsXian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed Farahat, Chetan Gupta 0001. 172-179 [doi]
• A Comprehensive Approach for Gearbox Fault Detection and Diagnosis Using Sequential Neural NetworksParvathy Sobha, Midhun Xavier, Praneeth Chandran. 180-185 [doi]
• 1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization for the ICPHM 2023 Data ChallengeMatthias Kreuzer, Walter Kellermann. 186-191 [doi]
• Vibration Time Series Classification using Parallel Computing and XGBoostPeng Liu. 192-199 [doi]
• A Reinforcement Learning Algorithm for Optimal Dynamic Policies of Joint Condition-based Maintenance and Condition-based ProductionHasan Rasay, Fariba Azizi, Mehrnaz Salmani, Farnoosh Naderkhani. 200-204 [doi]
• Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning methodZhenning Li, Hongkai Jiang, Shaowei Liu, Ruixin Wang. 205-211 [doi]
• Electrochemical Impedance Spectroscopy (EIS) and Machine Learning based Battery State of Health (SoH) EstimationMasuda Akter Tonima, Austin Dehart, Deniz Tabakci, Piramon Tisapramotkul, Andrew Munro-West, Aarushi Mehra, Tina Shoa. 212-223 [doi]
• A Class-Added Continual Learning Method for Motor Fault Diagnosis Based on Knowledge Distillation of Representation Proximity BehaviorAo Ding, Yong Qin 0002, Biao Wang, Limin Jia 0002. 224-231 [doi]
• Airborne Sound Analysis for the Detection of Bearing Faults in Railway Vehicles with Real-World DataMatthias Kreuzer, David Schmidt, Simon Wokusch, Walter Kellermann. 232-238 [doi]
• Damage Evolution Characterization of Low Carbon Alloy Steel Based on Multiaxial Fatigue Test and DICZhong Ren, Xianrong Qin, Qing Zhang, Yuantao Sun. 239-245 [doi]
• Gradient feature-based method for Defect Detection of Carbon Fiber Reinforced Polymer MaterialsYamini Devidas Kotriwar, Obaid Elshafiey, Lei Peng, Zi Li, Vijay Srinivasan, Eric Davis, Yiming Deng. 246-252 [doi]
• Modeling Operational Risk to Improve Reliability of Unmanned Aerial VehiclesAungshula Chowdhury, Michael G. Lipsett. 253-264 [doi]
• Optimizing Flight Control of Unmanned Aerial Vehicles with Physics-Based Reliability ModelsLucas Dimitri, Jonathan Liscouët. 265-273 [doi]
• A support tensor machine-based fault diagnosis method for railway turnoutChen Chen, Meng Mei, Haidong Shao, Pei Liang. 274-281 [doi]
• Imbalanced fault diagnosis of planetary gearboxes based on noise enhancement and threshold adaptive Siamese decoupled networkNa Zhang, Lixiang Duan, Xiaofeng Li, Xiangwu Liu. 282-290 [doi]
• Research on Visual Detection Methods and Development Trends of Surface Defects of Urban TunnelsGeng Xu, Mingxin Gao, Feng Liu, Yang Liu. 291-295 [doi]
• A semi-supervised RUL prediction with likelihood-based pseudo labeling for suspension historiesRyosuke Takayama, Masanao Natsumeda, Takehisa Yairi. 296-303 [doi]
• Data-driven Health Monitoring and Anomaly Detection in Aircraft Shock AbsorbersJosí Joaquín Mendoza Lopetegui, Gianluca Papa, Mara Tanelli. 304-311 [doi]
• A Data-driven Condition Monitoring method to predict the Remaining Useful Life of SiC Power Modules for Traction InvertersGiovanni Di Nuzzo, Horst Lewitschnig, Marc Tuellmann, Sven Rzepka, Alexander Otto. 312-319 [doi]
• Data-driven estimation of blade icing risk in wind turbinesGiulia Murtas, Henrique Cabral, Elena Tsiporkova. 320-327 [doi]
• 2D Characterization Based on MSGMD And Its Application in Gearbox Fault DiagnosisJianqun Zhang, Qing Zhang, Xianrong Qin, Yuantao Sun. 328-334 [doi]
• Optimizing Data Training Quantity for Bearing Condition MonitoringEthan Wescoat, Vinita Gangaram Jansari, Laine Mears. 335-342 [doi]
• Multi-view contextual performance profiling in rotating machineryFabian Fingerhut, Sarah Klein, Mathias Verbeke, Sreeraj Rajendran, Elena Tsiporkova. 343-350 [doi]
• An Entropy-based Data Reduction Method for Data PreprocessingRocco Cassandro, Quing Li, Zhaojun Steven Li. 351-356 [doi]
• Experimental Setups for Linear Feed Drive Predictive Maintenance: A ReviewBrett Sicard, Quade Butler, Youssef Ziada, S. Andrew Gadsden. 357-367 [doi]
• State Reconstruction: Generating a Reference for Improved DiagnosticsYan Li, Navid Zaman, Jacek Stecki, Chris Stecki. 368-371 [doi]