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ORCIDICPHM 2025: Denver, CO, USA
- IEEE International Conference on Prognostics and Health Management, ICPHM 2025, Denver, CO, USA, June 9-11, 2025. IEEE 2025, ISBN 979-8-3315-1226-2
- Guanyu Piao, Ziyan Zou, Lin Li, Jiaoyang Li:
A Chirp-Waveform-Based Eddy Current Method for Defects Detection in Ferromagnetic Materials. 1-7 - Weicheng Li, Jiahe Gao, Tiantian Wang, Jingsong Xie, Guifa Huang, Jinsong Yang, Yulong Wu, Yuyan Li, Ran Bi:
Dynamic Modeling and Impact Response Analysis of Multi-Unit Urban Rail Vehicle Post-Derailment. 1-8 - Reza Gheibi, Dean Hougen
:
Enhancing Cervical Cancer Classification Through Augmented and Synthetic Data in Machine Learning. 1-8 - Ashkan Safari, Afshin Rahimi:
Machine Learning-Assisted Power Modeling and Simulation of Quantum Cloud Data Centers. 1-6 - Zhaojie Fu, Xiaoxu Dong, Weili Zhao, Song Xue, Hualin Yang, Haizhou Chen:
Design of a Low-cost IoT-based Wireless Strain Monitoring System for Structural Health Monitoring in Port Portal Cranes. 1-8 - Wyatt Pena, Arsh R. Nadkarni, Christopher Curti, Gabriela Galvan:
A Practical Design for a Battery Diagnostic and Prognostic System Tool Suite. 1-10 - Yufang Li:
Using PCTRAN Nuclear Power Plant Accident Simulation Alarm System with Deep Learning for Alarm Flood Classification and Prognostics and Health Management. 1-9 - Gengyu Li, Takehisa Yairi:
Semi-supervised domain adaptation with auxiliary task learning for RUL prediction. 1-8 - Nader Foroughi, Maher Harb:
Statistical Process Control Applied to Monitoring of Cable Networks. 1-6 - Sohaib Arshad Mayo, Zhiqiang Cai, Romil Imtiaz:
A Comprehensive Approach to Gear Fault Classification Leveraging Vibration Data and Neural Networks. 1-7 - Jiaoyang Li, Zhao Liu, Dingjie Ma, Sihan Chen, Guanyu Piao:
Detection of Wood Moisture Content Using Microwave Nondestructive Testing Method. 1-5 - Vamshi Krushna Chinni, Shreea Bose, Chittaranjan Hota:
Anomaly Detection in WBANs using GANs and ConvLSTM. 1-8 - Lasitha Vidyaratne, Huijuan Shao, Tsubasa Watanabe, Ahmed K. Farahat, Chetan Gupta:
Generating Troubleshooting Trees With FMEA Using Large Language Models (LLM). 1-10 - Yuyan Li, Jingsong Xie, Yaozheng Zeng, Tongyang Pan, Tiantian Wang, Weicheng Li, Ran Bi, Xiaochi Chen:
Time-frequency Embedded Self-supervised Contrastive Learning for Fault Diagnosis of High-Speed Train bearing under Limited Labeled Data. 1-8 - Shoog Nimri, Sara Kohtz:
An Enhanced Feature Engineering and Stacking Ensemble Framework for Remaining Useful Life Prediction. 1-8 - Jiaoyang Li, Yapeng Xu, Lin Li, Hailing Xing, Taotao Shan, Huajun Wang, Guanyu Piao:
Alternating Current Field Measurement Method for Rail Crack Detection using TMR Sensing Array. 1-7 - William Helman, Christian Hansen:
A PHM Model for a City Bus Transportation System. 1-7 - Pham Luu Trung Duong, Nagarajan Raghavan:
Second Life Prognostic for Li-Ion Battery: Cases of Missing Data with Polynomial Chaos and Time VAE. 1-7 - Deiver Jiménez-Santín, Mariela Cerrada, René-Vinicio Sánchez, Rocco Cassandro:
Industry 4.0 Technologies for an Observer-Based Gearbox Fault Detection Architecture. 1-7 - Valeriu Dimidov, Sasan Jafarnejad, Raphaël Frank:
An Empirical Study on Predictive Maintenance for Component X in Heavy-Duty Scania Trucks. 1-9 - Hao Wu, Yifei Wang, Zhigang Tian, Ming Jian Zuo:
Query based learning via conformal uncertainty for RUL prediction. 1-8 - Brett Sicard, Yuandi Wu, Quade Butler, Stephen Andrew Gadsden:
Friction Modeling and Monitoring for Machine Tool Health Management. 1-7 - Eric Noah Savage, Cameron Popillo, Ruolin Zhou:
A Study on Distributed Learning for Attack Detection in Wireless Sensor Networks. 1-8 - Dasheng Zhang, Ruolin Zhou:
A Study of Liquid Networks for Wireless Communications. 1-8 - Daniel O. Williams, Zhaojun Steven Li, Tamer F. Megahed, Xiaochuan Luo:
Enhancing Power Quality in Low-Inertia Grids Using NILM-Enabled Grid-Forming Inverters. 1-7 - Hanqi Su, Jay Lee:
Transfer learning and ensemble learning for fault diagnosis using vibration signals. 1-9 - Mehri Mirzahosseini, Masoud Babaei Vavdareh, Mohsen Ghafouri, Ulas Karaagac, Ilhan Kocar:
Detection of False Data Injection Attacks on Grid-Connected Type-4 Wind Turbines. 1-7 - Yutong Dong, Hongkai Jiang, Zhenning Li:
Hypersonic flight vehicle intelligent fault diagnosis with imbalance data. 1-7 - Hsiao-Hsuan Tseng, Rocco Cassandro, Wei Zhang, Zhaojun Steven Li:
A Bayesian Product Reliability Assessment Approach with Varying Sample Sizes. 1-7 - Nart Gashi, Panagiotis Kakosimos, George Papafotiou:
System Identification Using Kolmogorov-Arnold Networks: A Case Study on Buck Converters. 1-7 - Vignesh V. Shanbhag, Kjetil Daae Lohne, Nabil Belbachir, Rune Schlanbusch:
Use of acoustic emission for Lithium-ion battery to identify defects, overcharging, and swelling. 1-8 - Xiaoxu Dong, Zhaojie Fu, Weili Zhao, Yuqi Wang, Haizhou Chen, Hualin Yang:
Research of Digital Twin-based Monitoring and Simulation System of Port Portal Cranes for PHM. 1-9 - Arsh R. Nadkarni, Basab R. D. Goswami, Wyatt Pena, Christopher Curti:
Data-Driven PHM with BDPS Tool Suite: Battery Data Acquisition for Degradation Modeling. 1-7 - Youngjae Jeon, Eunho Heo, Jinmo Lee, Taewon Uhm, Dongjin Lee:
A Robust Method for Fault Detection and Severity Estimation in Mechanical Vibration Data. 1-8 - Subrata Mukherjee, Paul Groth, Drew Herron, Bruce R. J. Warmack, Kris Villez:
Unsupervised anomaly clustering via offset alignment in multivariate grid sensing data. 1-9 - Lateefa Shibah Tusuubira, Wen-Chiao Lin, Jun Chen:
Fault Mitigation for Autonomous Vehicles with Reduced Front Steering Capability. 1-8 - Rahul Sahay, Hyunseok Park, Nagarajan Raghavan:
Lithium-ion Battery Capacity Loss Predictions using Domain-Knowledge-Incorporated Capacity Loss Model through Bayesian Inference. 1-11 - Dai-Yan Ji, Takanobu Minami, Jay Lee:
Intelligent Fault Diagnosis for Planetary Gearboxes using a Hybrid CNN-Transformer Model with Skip Connections. 1-6 - Zhaorong Li, Diwang Ruan, Xuran Chen, Yiliang Qian, Jianping Yan, Clemens Gühmann:
Mutually Complementary: Physics-informed GAN based on Simulated Model for Fault Diagnosis. 1-8 - Ark Ifeanyi, Jamie Coble:
Enhancing System-Level Prognostics with Structural Information: A Graph-Based Approach. 1-8 - Afshin Rahimi:
Advancing Industrial Safety Compliance Using YOLOv11 and SH17 Dataset. 1-6 - Ran Bi, Tiantian Wang, Jingsong Xie, Yuntian Ta, Jirui Guan, Yanyu Li, Weicheng Li, Jiahang Li:
Bearing Degradation Prediction based on Multi-Scale Mamba-Transformer Model. 1-8 - Jonathan Adam Rico, Nagarajan Raghavan, Senthilnath Jayavelu:
Compound Fault Diagnosis for Train Transmission Systems Using Deep Learning with Fourier-enhanced Representation. 1-8 - Meadhbh Healy, Rocco Cassandro, Zhaojun Steven Li, Andreas Baum, Thomas Martini Jørgensen:
Cost-Effective Active Learning for Cable Network Impairment Data. 1-7 - Yunpeng Liu, Hongkai Jiang, Zhenning Li, Haidong Shao, Ke Zhao, Wenxin Jiang:
Spatio-Temporal Reinforcement Learning for Aero-Engine Remaining Useful Life Prediction. 1-7 - Reza Gheibi, Dean Hougen:
Improved Cervical Cancer Classification using Generative AI and Language Models. 1-8 - Wei-Chang Yeh, Fu-Cheng Luo, Chi-Shiuan Lin:
Using Monte Carlo Simulation with BAT and OCBA for the Binary-state Network Reliability Problem. 1-8 - Guanyu Piao, Xubin Feng, Jinyu Tan, Jiaoyang Li:
A Resonance-Based Inductive-Capacitive Dual Modality Sensing Method for Detecting CFRP Composites. 1-8 - Rubén Medina, René-Vinicio Sánchez, Diego Cabrera, Mariela Cerrada:
Poincaré Features for Estimation of Remaining Useful Life in Roller Bearings. 1-8
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