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ICPHM 2017: Dallas, TX, USA
- 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017, Dallas, TX, USA, June 19-21, 2017. IEEE 2017, ISBN 978-1-5090-5710-8
- Xiaoli Qin
, Qi Zhao, Hongbo Zhao, Wenquan Feng, XiuMei Guan:
Prognostics of remaining useful life for lithium-ion batteries based on a feature vector selection and relevance vector machine approach. 1-6 - Guangquan Zhao, Guohui Zhang, Yuefeng Liu
Lithium-ion battery remaining useful life prediction with Deep Belief Network and Relevance Vector Machine. 7-13 - Jian Guo, Zhaojun Li
Prognostics of Lithium ion battery using functional principal component analysis. 14-17 - Biao Wang
An improved fusion prognostics method for remaining useful life prediction of bearings. 18-24 - Yixiang Huang, Yanming Li, Chengliang Liu, Xiao Liu:
A feature extraction method based on probabilistic Principal components analysis and sampling importance resampling for bearing fault detection. 25-31 - Deovrat Kakde, Arin Chaudhuri, Seunghyun Kong, Maria Jahja, Hansi Jiang
Peak criterion for choosing Gaussian kernel bandwidth in Support Vector Data Description. 32-39 - Benjamin Y. Choo, Stephen C. Adams, Peter A. Beling:
Health-aware hierarchical control for smart manufacturing using reinforcement learning. 40-47 - Enrique Angola:
Novelty detection of rotating machinery using a non-parametric machine learning approach. 48-54 - Qiang Huang, Guigang Zhang, Ting Zhang, Jian Wang:
A kind of approach for aero engine gas path fault diagnosis. 55-60 - Fakhreddine Landolsi, Hassene Jammoussi, Imad Makki:
Air filter diagnostics & prognostics in naturally aspired engines. 61-65 - Houman Hanachi, Christopher Mechefske, Jie Liu, Avisekh Banerjee, Ying Chen:
Enhancement of prognostic models for short-term degradation of gas turbines. 66-69 - Mikel Canizo
Real-time predictive maintenance for wind turbines using Big Data frameworks. 70-77 - Pushe Zhao, Masaru Kurihara, Junichi Tanaka, Tojiro Noda, Shigeyoshi Chikuma, Tadashi Suzuki:
Advanced correlation-based anomaly detection method for predictive maintenance. 78-83 - Ferenc Szidarovszky, Douglas Goodman, Criag Wentzel:
An effective age-based preventive replacement model. 84-87 - Shuai Zheng, Kosta Ristovski, Ahmed K. Farahat, Chetan Gupta:
Long Short-Term Memory Network for Remaining Useful Life estimation. 88-95 - Roy Assaf, Phuc Do
Diagnosis for systems with multi-component wear interactions. 96-102 - Naipeng Li
Machine remaining useful life prediction considering unit-to-unit variability. 103-108 - Nishchal K. Verma, Raghav Dev
Real-time remote monitoring of an air compressor using MTConnect standard protocol. 109-116 - Azeem Sarwar, Chaitanya Sankavaram, Xiangxing Lu:
Control adaptation approach for fault detection and isolation in SIDI high pressure fuel pump. 117-123 - Nishchal K. Verma, Teena Sharma, Seetaram Maurya
Real-time monitoring of machines using Open Platform Communication. 124-129 - Yaojia Zhang, Li Wang:
The research on characteristics of DC arc fault based on HHT. 130-134 - Pham Luu Trung Duong, Nagarajan Raghavan
Uncertainty quantification in prognostics: A data driven polynomial chaos approach. 135-142 - Portia Banerjee, Debejyo Chakraborty, Teresa Rinker
Damage detection using time-frequency decay-rate based features. 143-147 - Haixia Su, Sujie Li, Lu Yang, Jian Wang, Guigang Zhang:
Fault feature analysis of civil aircraft control surface damage. 148-153 - Sujie Li, Guigang Zhang, Jian Wang:
Civil aircraft health management research based on big data and deep learning technologies. 154-159 - Fangyi Wan
Research on Optimal Sensor Placement for Aircraft Structural Health Management. 160-166 - Long Wang, Yanling Qian, Yue Li, Yanbin Liu:
Research on CBM information system architecture based on multi-dimensional operation and maintenance data. 167-172 - Eduard Wagner
Advanced packaging for wireless sensor nodes in cyber-physical systems - impacts of multifunctionality and miniaturization on the environment. 173-178 - Haifeng Zhu, Dan Hestand:
Model-driven multi-view conceptual architecture design in a PHM system environment. 179-186 - Xu Luo, Zhexue Ge, Fengjiao Guan, Yongmin Yang:
A method for the maintainability assessment at design stage based on maintainability attributes. 187-192 - Arijit Guha, Amit Patra:
Particle filtering based estimation of remaining useful life of lithium-ion batteries employing power fading data. 193-198 - Jiaming Fan, Jianping Fan, Feng Liu:
Research of K-MEANS analysis model on high-speed railway CIR device maintenance. 199-204 - Jianhua Qin, Li Wang, Shanshui Yang, Ling Mao:
An optimal multi-degree open-circuit faults diagnostic algorithm for photovoltaic system. 205-208 - Lifang Liu, An Xiang
Towards a new health prognostics method for inverters: Power SiC-GTO failures and its precursors. 209-213 - Hung Nguyen, Christian K. Hansen
Short-term electricity load forecasting with Time Series Analysis. 214-221 - Xun Zhang
Running state detection and performance evaluation method for feed mechanism of numerical control machine. 222-226 - Pham Luu Trung Duong
A metaheuristic approach to remaining useful life estimation of systems subject to multiple degradation mechanisms. 227-233 - Samuel Cruz-Manzo, Sepehr Maleki, Yu Zhang, Vili Panov
Performance analysis of a twin shaft Industrial Gas Turbine at fouling conditions. 234-238 - Shijie Chu, Qing Zhang, Bin Xu, Fei Liu, Lin Liang:
Visualization method for spectrum analysis of vibration acceleration signals. 239-245 - Linghao Zhou
A comparative study of helicopter planetary bearing diagnosis with vibration and acoustic emission data. 246-251 - Fang Duan, Michael Corsar, Linghao Zhou
Using independent component analysis scheme for helicopter main gearbox bearing defect identification. 252-259 - Zhuo Wang, Xiao-Hong Wang, Lizhi Wang, Xiao-Fen Hu, Wenhui Fan:
Research on electric vehicle (EV) driving range prediction method based on PSO-LSSVM. 260-265 - Takuya Nishino, Shun Takeuchi, Takahiro Saito, Isamu Watanabe:
Fault sound simulations from normal sounds for data-driven prognosis based on human expert and vibration knowledge. 266-272
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