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Publication search results
found 27 matches
- 2024
- Hui Liu, Zhenyu Liu, Donghao Zhang, Weiqiang Jia, Xiaopeng Xin, Jianrong Tan:
Uncertainty Quantification and Interval Prediction of Equipment Remaining Useful Life Based on Semisupervised Learning. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - 2023
- Haodong Li, Peng Cao, Xingwei Wang, Bo Yi, Min Huang, Qiuye Sun, Yanfeng Zhang:
Multi-task spatio-temporal augmented net for industry equipment remaining useful life prediction. Adv. Eng. Informatics 55: 101898 (2023) - Sheng Tong, Jie Yang, Haohua Zong:
A prediction model for complex equipment remaining useful life using gated recurrent unit complex networks. Enterp. Inf. Syst. 17(5) (2023) - Dmitrii Kirov, Simone Fulvio Rollini:
Benchmark: Remaining Useful Life Predictor for Aircraft Equipment. AISoLA 2023: 299-304 - 2022
- Huibin Fu, Ying Liu:
A deep learning-based approach for electrical equipment remaining useful life prediction. Auton. Intell. Syst. 2(1): 1-12 (2022) - Yuanhong Chang, Jinglong Chen, Yulang Liu, Enyong Xu, Shuilong He:
Temporal convolution-based sorting feature repeat-explore network combining with multi-band information for remaining useful life estimation of equipment. Knowl. Based Syst. 249: 108958 (2022) - Sheng Xiang, Yi Qin, Jun Luo, Huayan Pu:
Spatiotemporally Multidifferential Processing Deep Neural Network and its Application to Equipment Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 18(10): 7230-7239 (2022) - David C. Nchekwube, Francesco Ferracuti, Alessandro Freddi, Sabrina Iarlori, Sauro Longhi, Andrea Monteriù:
Predictive Maintenance of Industrial Equipment using Deep Learning: from sensory data to remaining useful life estimation. MetroXRAINE 2022: 624-629 - 2021
- Ziqiu Kang, Cagatay Catal, Bedir Tekinerdogan:
Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks. Sensors 21(3): 932 (2021) - Jiapeng Cui, Kaixiang Peng, Pengxue Lang, Shuai Lu:
Fault Identification and Remaining Useful Life Prediction for Complex Equipment under Multiple Fault Modes. CAA SAFEPROCESS 2021: 1-6 - Zhiyang Jia, Zhibo Xiao, Yijin Shi:
Remaining Useful Life Prediction of Equipment Based on XGBoost. CSAE 2021: 59:1-59:6 - Dong Zhu, Chengkun Wu, Chuanfu Xu, Zhenghua Wang:
AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life. PAKDD (1) 2021: 290-301 - 2020
- Yunxiang Chen, Zezhou Wang, Zhongyi Cai:
Optimal Maintenance Decision Based on Remaining Useful Lifetime Prediction for the Equipment Subject to Imperfect Maintenance. IEEE Access 8: 6704-6716 (2020) - Shenglong Wang, Bo Jing, Xiaoxuan Jiao, Jinxin Pan:
Degradation Pattern Identification and Remaining Useful Life Prediction for Mechanical Equipment Using SKF-EN. IEEE Access 8: 147662-147672 (2020) - Mahfudh Asy'ari, Zulkarnain, Romadhani Ardi:
Analytical Hierarchy Process Method to Engineering Companies Selection for Remaining Life Assessment of Oil and Gas Equipment and Installation in Indonesia. APCoRISE 2020: 350-354 - Zheng Tan, Yiping Wen, Tiancai Li:
A Hybrid Data-Driven Approach for Predicting Remaining Useful Life of Industrial Equipment. ICPCSEE (2) 2020: 344-353 - Jyoti Narwariya, Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Gautam Shroff:
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation. CoRR abs/2006.16556 (2020) - 2019
- Hong Pei, Changhua Hu, Xiaosheng Si, Jian-Fei Zheng, Qi Zhang, Zhengxin Zhang, Zhenan Pang:
Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales. IEEE Access 7: 165166-165180 (2019) - Chenglong Ge, Yuanchang Zhu, Yanqiang Di:
Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch. Comput. Intell. Neurosci. 2019: 9179870:1-9179870:18 (2019) - Francesco Cannarile, Piero Baraldi, Enrico Zio:
An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories. Fuzzy Sets Syst. 367: 36-50 (2019) - Liang-Yu Chen, Jia-Hua Lee, Ya-Liang Yang, Ming-Tsung Yeh, Tzu-Chien Hsiao:
Predicting the remaining useful life of plasma equipment through XCSR. GECCO (Companion) 2019: 1263-1270 - 2018
- Chenglong Ge, Yuanchang Zhu, Yanqiang Di:
Equipment remaining useful life prediction oriented symbiotic simulation driven by real-time degradation data. Int. J. Model. Simul. Sci. Comput. 9(2): 1850009:1-1850009:22 (2018) - Evgeniy Latyshev:
Sensor Data Preprocessing, Feature Engineering and Equipment Remaining Lifetime Forecasting for Predictive Maintenance. DAMDID/RCDL 2018: 226-231 - 2017
- Piero Baraldi, Francesco Di Maio, Sameer Al-Dahidi, Enrico Zio, Francesca Mangili:
Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory. Expert Syst. Appl. 83: 226-241 (2017) - Ke Li, Jingjing Wu, Qiuju Zhang, Lei Su, Peng Chen:
New Particle Filter Based on GA for Equipment Remaining Useful Life Prediction. Sensors 17(4): 696 (2017) - 2012
- Zhigang Tian:
An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring. J. Intell. Manuf. 23(2): 227-237 (2012) - 2007
- Henryk Maciejewski, George J. Anders:
Problem of Model Selection for Estimation of Equipment Remaining Life. DepCoS-RELCOMEX 2007: 309-315
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