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ORCIDICPHM 2022: Detroit, MI, USA
- 2022 IEEE International Conference on Prognostics and Health Management, ICPHM 2022, Detroit (Romulus), MI, USA, June 6-8, 2022. IEEE 2022, ISBN 978-1-6654-6615-8
- Dean Lee, Andrew Sabater:
Visibility Graphs, Persistent Homology, and Rolling Element Bearing Fault Detection. 1-5 - Shivam Bhardwaj, Prashant Kartikeya, Ramesh Kumar, Soudip Roy Chowdhury:
Multilevel DiscreteWavelet Transform and Deep Neural Networks for Predicting Remaining Useful Life of a Machine Asset. 6-11 - Fariba Azizi
, Hasan Rasay, Farnoosh Naderkhani:
Dynamic Maintenance of Continuously Monitored Parallel Systems. 12-16 - Hasan Rasay, Farnoosh Naderkhani, Amir-Mohammad Golmohammadi:
Reinforcement Learning based on Stochastic Dynamic Programming for Condition-based Maintenance of Deteriorating Production Processes. 17-24 - Anass Akrim, Christian Gogu, Thomas Guillebot de Nerville, Paul Strähle, Brondon Waffa Pagou, Michel Salaün, Rob A. Vingerhoeds:
A Framework for Generating Large Data Sets for Fatigue Damage Prognostic Problems. 25-33 - Zhijun Ren, Wenjun Su, Tantao Lin, Rui Zhang, Yongsheng Zhu, Ke Yan, Jun Hong:
Gradient harmonized loss: Improving the performance of intelligent diagnosis models in large imbalance scenarios. 34-39 - Guanchen Li, Dimitri Kagaris:
On the Number of Bounded Renewals in Two-Unit Systems with Critical Components. 40-47 - James Hofmeister, Wyatt Pena, Douglas Goodman, Christopher Curti:
Condition-Based-Events Life Curve: Conceptual View to Support Fault Management of Complex Systems of Overlapped, Distributed Events. 48-51 - Rohan Kulkarni, Alireza Qazizadeh, Mats Berg:
Identification of vehicle response features for onboard diagnosis of vehicle running instability. 52-57 - Saeed Saffar Ardabili, Behzad Sinafar, Hamed Kharrati, Afshin Rahimi:
Investigating the Effect of Event-triggered Control and Nonlinear Actuator Dynamics on Spacecraft Attitude Stabilization. 58-63 - Hamed Habibzadeh, Amin Ziaei, Hamed Kharrati, Afshin Rahimi:
Fault-tolerant Consensus Control for Hybrid Multi-agent Systems. 64-69 - Antonio Carlo Bertolino, Andrea De Martin, Giovanni Jacazio, Massimo Sorli:
A technological demonstrator for the application of PHM techniques to electro-mechanical flight control actuators. 70-76 - Rebecca C. Shannon, Jingzhou Zhao, Zhaojun Li, Jingru Benner:
Sensitivity Study of Mini-Batch Size on a Long Short-Term Memory Network for Predicting Shell-tocore Ratio of Microencapsulated Phase Change Materials. 77-81 - Weiwei Zhang, Deji Chen, Yang Xiao:
A Novel Fault Diagnosis Method Based on Semisupervised Contrast Learning. 82-87 - Tsung-Ti Chen, Yuan-Jen Chang, Tzu-Hsuan Hsu, He-Kai Hsu:
Using UTAUT, TTF, and PR integrating models to evaluate employees' acceptance and behavioral intention of PHM-based system in the military industry. 88-93 - Yahui Shan, Hao Wang, Genping Wu, Xing Zhang, Jiayue Liu, Hongfeng Zhang:
Health Performance Interval Prediction of Pumped Storage Unit Based on Multi-Objective Optimization. 94-100 - Zhengyi Jiang, Chongdang Liu, Linxuan Zhang:
Deep Feature Learning Based Fault Detection with High-Frequency Signals. 101-107 - Xi Chen, Cheng Ge, Ming Wang, Jin Wang:
An Integration of Spectrum Analysis and Attention-based Network for Condition Monitoring of Vibration Components. 108-113 - Bojian Chen, Chuancang Ding, Xingxing Jiang, Juanjuan Shi, Weiguo Huang, Changqing Shen:
Lifelong Learning for Bearing Fault Diagnosis with Incremental Fault Types. 114-120 - Jeongseop Yoon, Donghwan Kim, Daeyoung Kim:
SDBOSR: Separable Decision Boundary based Open Set Recognition for Manufacturing Equipment Fault Classification. 121-126 - Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Ke Zhao, Xin Wang:
Imbalanced fault diagnosis of rolling bearing using a deep gradient improved generative adversarial network. 127-132 - Ruixin Wang, Hongkai Jiang, Zhenning Li, Yunpeng Liu:
A Deep Ensemble Learning Model for Rolling Bearing Fault Diagnosis. 133-136 - Shaowei Chen, Fangda Xu, Pengfei Wen, Shuaiwen Feng, Shuai Zhao:
A Multivariate Time Series Anomaly Detection Method Based on Generative Model. 137-144 - Shilei Wang, Qiuhui Xu, Jiahui Zhang, Qingjiang Wangxuan, Lei Qiu, Shenfang Yuan:
Research on monitoring alarm and localization of weights loading on composite materials. 145-153 - Fei Zheng, Shenfang Yuan:
Research on composite impact localization by MUSIC based guided wave monitoring. 154-160 - Xiaofei Yang, Hui Zheng, Xulong Lu, Zhaopeng Xue, Lei Qiu, Shenfang Yuan:
Experimental method based on guided wave for ablation monitoring of C/C thermal protection structures. 161-166 - Yumeng Zhu, Yanyang Zi, Jing Xu:
Transfer Learning-based SAE-CNN for Industrial Data Processing in Multiple working Conditions Recognition. 167-172 - Tony Lindgren, Olof Steinert:
Low dimensional synthetic data generation for improving data driven prognostic models. 173-182 - Zhipeng Chen, Haiping Zhu, Liangzhi Fan, Zheng Zhang, Jun Wu:
Multi-mode signals driven damage detection for composite structures by ensemble generalized multiclass support vector machine. 183-187 - Cunjun Wang, Zili Xu, Jun Wang, Song Yan:
A Multiple VAEs-based Information Fusion Framework With Mutual-KL Loss for Intelligent Fault Diagnosis and Toward OoD Detection. 188-197 - Zhilong Liu, Tongxi Li, Yanping Huang, Jie Liu, Changhua Nie, Li Zhan, Zhangchun Tang:
Research on Fault Diagnosis of Nuclear Gate Valve Based on Analysis of Energy Variation Characteristics of Vibration Signal. 198-202 - Demin Peng, Xingxing Jiang, Qiuyu Song, Zhongkui Zhu:
An Enhanced Sparse Filtering Fusion Method for Bearing Fault Diagnosis. 203-208
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