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ORCIDICPHM 2021: Detroit, MI, USA
- International IEEE Conference on Prognostics and Health Management, ICPHM 2021, Detroit, MI, USA, June 7-9, 2021. IEEE 2021, ISBN 978-1-6654-1970-3
- Charles Z. Li, Jian Guo:
A Dynamic Programming Approach for Multistage Reliability Growth Planning Considering Time and New Contents Allocation. 1-6 - Hossein Varvani Farahani, Afshin Rahimi:
An Optimized Support Vector Regression for Identification of In-phase Faults in Control Moment Gyroscope Assembly. 1-7 - Peter Knight, Lucas Partridge, Honor Powrie:
GE Aviation Use-case - Apache Spark for Analytics. 1-5 - Shaowei Chen, Shengyue Wang, Pengfei Wen, Shuai Zhao
:
Digital Twin for Degradation Parameters Identification of DC-DC Converters Based on Bayesian Optimization. 1-9 - Tianyu Han, Xi Shi, Gang Zhang, Chao Liu:
Unsupervised Domain Adaptation for Bearing Fault Diagnosis Considering the Decision Boundaries. 1-7 - Alexandre Eid, Guy Clerc, Badr Mansouri:
A Novel Deep Soft Clustering for Unsupervised Univariate Times Series. 1-8 - Kart-Leong Lim, Rahul Dutta:
Prognostics and Health Management of Wafer Chemical-Mechanical Polishing System using Autoencoder. 1-8 - Dongyang Li, Dongfeng Yuan, Daojun Liang, Zijun Di, Mingqiang Zhang, Feng Cao, Miaomiao Xin, Tengfei Lei, Mingyan Jiang:
Tool Fault Diagnosis Based on Improved Multiscale Network and Feature Fusion. 1-6 - Hasan Rasay, Farnoosh Naderkhani:
Comparison of Two Maintenance Policies for the Coordination of Decisions of Quality Control and Maintenance Planning. 1-6 - Unit Amin, Krishna Dev Kumar:
Remaining Useful Life Prediction of Aircraft Engines Using Hybrid Model Based on Artificial Intelligence Techniques. 1-10 - Dima El Jamal, Mohammed Al-Kharaz, Bouchra Ananou, Guillaume Graton, Mustapha Ouladsine, Jacques Pinaton:
Combining Approaches of Brownian Motion and Similarity Principle to Improve the Remaining Useful Life Prediction. 1-7 - Qiang Gao, Jun Young Jeon, Gyuhae Park, Yunde Shen:
Source localization using beamforming and double L-shape sensors arrays. 1-4 - Duggireddy Yashwanth Reddy, Bikky Routh, Amit Patra, Siddhartha Mukhopadhyay:
Gaussian Process Regression based State of Health Estimation of Lithium-Ion Batteries using Indirect Battery Health Indicators. 1-7 - Jing Zhao, Yuhuai Peng, Ning Xin:
An Aero-engine Gas Path Fault Diagnosis Method Based on OPABC-BP. 1-6 - Jinhui Yu, Yuhuai Peng, Qingxu Deng:
Remaining Useful Life Prediction Based on Multi-scale Residual Convolutional Network for Aero-engine. 1-6 - Haiyan Fu, Tengfei Lei, Miaomiao Xin, Feng Cao, Minglei Jin, Tingyang Yan:
Identification and Analysis of Tool Wear Signal in CNC Machine Tool Based on Chaos Method. 1-5 - Dengshan Huang, Rui Bai, Shuai Zhao, Pengfei Wen, Jiawei He, Shengyue Wang, Shaowei Chen:
A Hybrid Bayesian Deep Learning Model for Remaining Useful Life Prognostics and Uncertainty Quantification. 1-8 - Rongze Li, Zhengtian Chu, Wangkai Jin, Yaohua Wang, Xiao Hu:
Temporal Convolutional Network Based Regression Approach for Estimation of Remaining Useful Life. 1-10 - Afshin Rahimi, Mohammad Anvaripour, Khizer Hayat:
Object Detection using Deep Learning in a Manufacturing Plant to Improve Manual Inspection. 1-7 - Onat Güngör, Tajana Rosing, Baris Aksanli:
OPELRUL: OPtimally Weighted Ensemble Learner for Remaining Useful Life Prediction. 1-8 - Chao Song, Shu Nan Ding, Zhi Bian, Jun Xing Li:
Research on Residual Life Prediction of Joint Rotating Structure with Multiple Failure Coupling. 1-5 - Marios Kefalas, Mitra Baratchi, Asteris Apostolidis, Dirk van den Herik, Thomas Bäck:
Automated Machine Learning for Remaining Useful Life Estimation of Aircraft Engines. 1-9 - Pengcheng Xia, Yixiang Huang, Dengyu Xiao, Chengliang Liu, Lun Shi:
Tool Wear Prediction Under Varying Milling Conditions via Temporal Convolutional Network and Auxiliary Learning. 1-6 - Mingzhu Yu, Heli Liu, Rengen Wang, Xiangwei Kong, Zhiyong Hu, Xueyi Li:
An improved CNN based on attention mechanism with multi-domain feature fusion for bearing fault diagnosis. 1-7 - Gang Yan, Kesheng Wang, Jing Liu:
A Hybrid F-G-D Approach for Reliability Risk Assessment of Surgical Robots. 1-5 - Maria Teresa Gonzalez Diaz, Dipanjan Ghosh, Adriano S. Arantes, Hamed Khorosgani, Mahbubul Alam, Gregory Sin, Chetan Gupta:
Guided Visual Inspection enabled by AI-based Detection Models. 1-8 - Shaowei Chen, Fangda Xu, Shengyue Wang, Yanping Huang, Pengfei Wen, Dengshan Huang, Shuai Zhao:
A Smart Agricultural Monitoring System Based on Cloud Platform of Internet of Things. 1-8 - Can Zhao, Yuhuai Peng, Shoubin Wang:
An Aero-engine Gas Path Fault Feature Extraction Method Based on IGA-KPCA. 1-5 - Wenshuo Tang, David Flynn, Valentin Robu:
Sensing Technologies and Artificial Intelligence for Subsea Power Cable Asset Management. 1-6 - Leonardo Ramos Rodrigues:
A Maintenance Cost Optimization Strategy Based on Prognostics and Health Monitoring Information. 1-7 - T. Haj Mohamad, Amirhassan Abbasi, Edward Kim, Chandrasekhar Nataraj:
Application of Deep CNN-LSTM Network to Gear Fault Diagnostics. 1-6 - Enzo Iglésis, Nadjim Horri, James Brusey, Karim Dahia, Hélène Piet-Lahanier:
Simultaneous Actuator and Sensor Faults Estimation for Aircraft Using a Jump-Markov Regularized Particle Filter. 1-10 - Jianguo Miao, Qiang Miao:
A Novel Intelligent Diagnosis Method for Bearing Based on Fused-feature Images. 1-5 - Junjie Yang, Claude Delpha:
A Local Mahalanobis Distance Analysis Based Methodology for Incipient Fault Diagnosis. 1-8 - François Meunier, Selma Khebbache:
3D objects descriptors method for fault detection in a multi sensors context. 1-7 - Maharshi Harshadbhai Dhada, Marco Pérez-Hernández, Adrià Salvador Palau, Ajith Kumar Parlikad:
Comparison of Agent Deployment Strategies for Collaborative Prognosis. 1-8 - Arian Andam, Hossein Hashemi Doulabi:
Operating room planning with multiple downstream units. 1-8 - Matthew Musiak, Zhaojun Steven Li:
Real Time Ultrasonic Monitoring of Solid-State Lithium-Ion Cells in the Frequency Domain. 1-5 - Bikky Routh, Arijit Guha, Amit Patra, Siddhartha Mukhopadhyay:
Particle Filtering framework for Health Monitoring of Lithium-Ion Batteries using Ampere-hour Throughput based Semi-Empirical Model. 1-7 - Olivier Kokoko, Claude Hudon, Mélanie Lévesque, Normand Amyot, Ryad A. Zemouri:
Comparison of an Automatic Classification of Partial Dischage Patterns for Large Hydrogenerator. 1-6 - Hao Lu, Vahid Barzegar, Venkat Nemani, Chao Hu, Simon Laflamme, Andrew T. Zimmerman:
GAN-LSTM Predictor for Failure Prognostics of Rolling Element Bearings. 1-8 - M. Sirajul Islam, Afshin Rahimi:
Fault Prognosis of Satellite Reaction Wheels Using A Two-Step LSTM Network. 1-7 - Diwang Ruan, Feifan Zhang, Clemens Gühmann:
Exploration and Effect Analysis of Improvement in Convolution Neural Network for Bearing Fault Diagnosis. 1-8 - Christian Ebner, Kirill Gorelik, Armin Zimmermann:
Automated Dynamic Safety Evaluation of Generic Fail-Operational Mechatronic Systems. 1-8 - Cody Coleman, Yi Zhang, Maria Seale:
Leveraging Big Data to Discover High Yield Prognostics Applications. 1-7 - Alireza Namdari, Zhaojun Steven Li:
A Multiscale Entropy-Based Long Short Term Memory Model for Lithium-Ion Battery Prognostics. 1-6
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