ICPHM

Publications

2023

Lucas Dimitri, Jonathan Liscouët
Optimizing Flight Control of Unmanned Aerial Vehicles with Physics-Based Reliability Models. ICPHM (2023)
Vincent Mendoza, Johnny Morgan, Marlene Haag
Using Digital Twins for CBM+ and RAMS Decision Support. ICPHM (2023)
Siho Han, Jihwan Min, Jui Ma, Gyuil Hwang, Taeyeong Heo, Young Eun Kim, Sungjin Kang, Hyojun Kim, Sangjong Park, Kisuk Sung
Deep Learning-Based Virtual Metrology in Multivariate Time Series. ICPHM (2023)
Daniel O. Williams, Zhaojun Steven Li, Afsaneh Ghanavati
Mitigating Electrical Losses Through a Programmable Smart Energy Advanced Metering Infrastructure System. ICPHM (2023)
Jiahui Wang, Lin Ma, Ankang Chen, Qiannan Liu, Mingshun Ma
Fault State Prediction Model of Repaired Equipment Considering Maintenance Effect. ICPHM (2023)
Rocco Cassandro, Quing Li, Zhaojun Steven Li
An Entropy-based Data Reduction Method for Data Preprocessing. ICPHM (2023)
Zhong Ren, Xianrong Qin, Qing Zhang, Yuantao Sun
Damage Evolution Characterization of Low Carbon Alloy Steel Based on Multiaxial Fatigue Test and DIC. ICPHM (2023)
Yan Li, Navid Zaman, Jacek Stecki, Chris Stecki
State Reconstruction: Generating a Reference for Improved Diagnostics. ICPHM (2023)
Masuda Akter Tonima, Austin Dehart, Deniz Tabakci, Piramon Tisapramotkul, Andrew Munro-West, Aarushi Mehra, Tina Shoa
Electrochemical Impedance Spectroscopy (EIS) and Machine Learning based Battery State of Health (SoH) Estimation. ICPHM (2023)
Nobal B. Niraula, Hai Nguyen, Jennifer Kansal, Sean Hafner, Logan Branscum, Eric Brown, Ricardo Garcia
Discovering Depressurization Events in Service Difficulty Reports using Machine Learning. ICPHM (2023)
Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta
An ensemble of convolution-based methods for fault detection using vibration signals. ICPHM (2023)
Ailin Barzegar, Afshin Rahimi
A Distributed Fault Detection and Estimation for Formation of Clusters of Small Satellites. ICPHM (2023)
Giovanni Di Nuzzo, Horst Lewitschnig, Marc Tuellmann, Sven Rzepka, Alexander Otto
A Data-driven Condition Monitoring method to predict the Remaining Useful Life of SiC Power Modules for Traction Inverters. ICPHM (2023)
Zhenning Li, Hongkai Jiang, Shaowei Liu, Ruixin Wang
Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning method. ICPHM (2023)
Jianqun Zhang, Qing Zhang, Xianrong Qin, Yuantao Sun
2D Characterization Based on MSGMD And Its Application in Gearbox Fault Diagnosis. ICPHM (2023)
Parvathy Sobha, Midhun Xavier, Praneeth Chandran
A Comprehensive Approach for Gearbox Fault Detection and Diagnosis Using Sequential Neural Networks. ICPHM (2023)
Haoyuan Shen, Xueyi Wang, Liqun Fu, Jiawei Xiong
Gear Fault Diagnosis Based on Short-time Fourier Transform and Deep Residual Network under Multiple Operation Conditions. ICPHM (2023)
Ryosuke Takayama, Masanao Natsumeda, Takehisa Yairi
A semi-supervised RUL prediction with likelihood-based pseudo labeling for suspension histories. ICPHM (2023)
Na Zhang, Lixiang Duan, Xiaofeng Li, Xiangwu Liu
Imbalanced fault diagnosis of planetary gearboxes based on noise enhancement and threshold adaptive Siamese decoupled network. ICPHM (2023)
Subrata Mukherjee, Deepak Kumar, Obaid Elshafiey, Lalita Udpa, Yiming Deng
Accurate Material Characterization of Wideband RF Signals via Registration-based Curve Fitting Model using Microstrip Transmission Line. ICPHM (2023)
Ali Safian, Xihui Liang
Bearing fault detection and fault size estimation using an integrated PVDF transducer. ICPHM (2023)
Aungshula Chowdhury, Michael G. Lipsett
Modeling Operational Risk to Improve Reliability of Unmanned Aerial Vehicles. ICPHM (2023)
Yamini Devidas Kotriwar, Obaid Elshafiey, Lei Peng, Zi Li, Vijay Srinivasan, Eric Davis, Yiming Deng
Gradient feature-based method for Defect Detection of Carbon Fiber Reinforced Polymer Materials. ICPHM (2023)
Thiagarajan Ravichandran, Yuan Liu, Amar Kumar, Alka Srivastava
Convolutional Neural Networks for Gas Turbine Exhaust Gas Temperature and Power Predictions. ICPHM (2023)
Josí Joaquín Mendoza Lopetegui, Gianluca Papa, Mara Tanelli
Data-driven Health Monitoring and Anomaly Detection in Aircraft Shock Absorbers. ICPHM (2023)
Zhuang Ye, Jianbo Yu, Pu Yang, Shang Yue, Ruixu Zhou, Mingyan Ma
Generative Adversarial Network for State of Health Estimation of Lithium-ion Batteries. ICPHM (2023)
Fabian Fingerhut, Sarah Klein, Mathias Verbeke, Sreeraj Rajendran, Elena Tsiporkova
Multi-view contextual performance profiling in rotating machinery. ICPHM (2023)
Chen Chen, Meng Mei, Haidong Shao, Pei Liang
A support tensor machine-based fault diagnosis method for railway turnout. ICPHM (2023)
Mehrnaz Mirzaei, Marzieh Hashemzadeh Sadat, Farnoosh Naderkhani
Application of Machine Learning for Anomaly Detection in Printed Circuit Boards Imbalance Date Set. ICPHM (2023)
Brett Sicard, Quade Butler, Youssef Ziada, S. Andrew Gadsden
Experimental Setups for Linear Feed Drive Predictive Maintenance: A Review. ICPHM (2023)
Hasan Rasay, Fariba Azizi, Mehrnaz Salmani, Farnoosh Naderkhani
A Reinforcement Learning Algorithm for Optimal Dynamic Policies of Joint Condition-based Maintenance and Condition-based Production. ICPHM (2023)
Kaiji Sun, Sindri Magnússon, Olof Steinert, Tony Lindgren
Robust Contrastive Learning and Multi-shot Voting for High-dimensional Multivariate Data-driven Prognostics. ICPHM (2023)
Mengqi Miao, Jianbo Yu, Pu Yang, Shang Yue, Ruixu Zhou
Selective Domain Adaptation Network for Lithium-ion Battery Health Monitoring. ICPHM (2023)
Chaoang Xiao, Jianbo Yu, Pu Yang, Shang Yue, Ruixu Zhou, Peilun Liu
Bearing compound fault diagnosis based on enhanced variational mode extraction algorithm. ICPHM (2023)
Zhenghong Wu, Hongkai Jiang, Sicheng Zhang, Xin Wang, Haidong Shao, Haoxuan Dou
Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network. ICPHM (2023)
Giulia Murtas, Henrique Cabral, Elena Tsiporkova
Data-driven estimation of blade icing risk in wind turbines. ICPHM (2023)
Ethan Wescoat, Vinita Gangaram Jansari, Laine Mears
Optimizing Data Training Quantity for Bearing Condition Monitoring. ICPHM (2023)
Panagiotis Kakosimos
Reliable Thermal Monitoring of Electric Machines through Machine Learning. ICPHM (2023)
Peng Liu
Vibration Time Series Classification using Parallel Computing and XGBoost. ICPHM (2023)
Zhonghai Lu, Rui Shi, Chao Guo, Mingrui Liu
Age Feature Enhanced Neural Network for RUL Estimation of Power Electronic Devices. ICPHM (2023)
Matthias Kreuzer, David Schmidt, Simon Wokusch, Walter Kellermann
Airborne Sound Analysis for the Detection of Bearing Faults in Railway Vehicles with Real-World Data. ICPHM (2023)
Hasan Rasay, Fariba Azizi, Mehrnaz Salmani, Farnoosh Naderkhani
A Reinforcement Learning Algorithm for Optimal Dynamic Policies of Joint Condition-based Maintenance and Condition-based Production. ICPHM (2023)
Jie Meng, Jiji Cai, Liang Chang
A causal graph-based framework for satellite health monitoring. ICPHM (2023)
Yanik Koch, Michel Fett, Eckhard Kirchner
Angular measurement with a gear wheel as a material measure - Extension as absolute sensor. ICPHM (2023)
Ao Ding, Yong Qin, Biao Wang, Limin Jia
A Class-Added Continual Learning Method for Motor Fault Diagnosis Based on Knowledge Distillation of Representation Proximity Behavior. ICPHM (2023)
Matthias Kreuzer, Walter Kellermann
1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization for the ICPHM 2023 Data Challenge. ICPHM (2023)
IEEE International Conference on Prognostics and Health Management, ICPHM 2023, Montreal, QC, Canada, June 5-7, 2023 ICPHM (2023)
Ricardo Ludeke, P. Stephan Heyns
Towards a Deep Reinforcement Learning based approach for real time decision making and resource allocation for Prognostics and Health Management applications. ICPHM (2023)
Geng Xu, Mingxin Gao, Feng Liu, Yang Liu
Research on Visual Detection Methods and Development Trends of Surface Defects of Urban Tunnels. ICPHM (2023)
Rajesh Murthy
Exploring the Use of PHM for Software System Security and Resilience. ICPHM (2023)