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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

, Bin Zhang
, Cong Hu:
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

, Yaguo Lei, Naipeng Li
, Jing Lin:
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

, Jorge Silva:
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

, Enrique Onieva, Angel Conde, Santiago Charramendieta
, Salvador Trujillo:
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

, Philip Scarf, Samia Nefti-Meziani
:
Diagnosis for systems with multi-component wear interactions. 96-102 - Naipeng Li

, Yaguo Lei, Ningbo Li, Jing Lin:
Machine remaining useful life prediction considering unit-to-unit variability. 103-108 - Nishchal K. Verma, Raghav Dev

, Narendra Kumar Dhar, Dhan Jeet Singh, Al Salour:
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

, Dhan Jeet Singh, Al Salour:
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

, Xingliang Yu, Qi Yu:
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

, Christian Bohme, Stephan Benecke, Nils N. Nissen, Klaus-D. Lang:
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

, Shun Li, Yijia Du, Gang Dai:
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

, Qing Zhang, Luyao Tan, Guanghua Xu:
Running state detection and performance evaluation method for feed mechanism of numerical control machine. 222-226 - Pham Luu Trung Duong

, Nagarajan Raghavan
:
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

, Anthony Latimer:
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

, Fang Duan, David Mba, Faris Elasha
:
A comparative study of helicopter planetary bearing diagnosis with vibration and acoustic emission data. 246-251 - Fang Duan, Michael Corsar, Linghao Zhou

, David Mba:
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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