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ICPHM 2019: San Francisco, CA, USA
- 2019 IEEE International Conference on Prognostics and Health Management, ICPHM 2019, San Francisco, CA, USA, June 17-20, 2019. IEEE 2019, ISBN 978-1-5386-8357-6
- Noushin Mokhtari, René Knoblich, Sebastian Nowoisky, José Luis Bote-Garcia, Clemens Gühmann:
Differentiation of Journal Bearing Friction States under varying Oil Viscosities based on Acoustic Emission Signals. 1-7 - Qingfeng Yao, Tianji Yang, Zhi Liu
, Zeyu Zheng:
Remaining Useful Life Estimation by Empirical Mode Decomposition and Ensemble Deep Convolution Neural Networks. 1-6 - Fangzhou Cheng, Ajay Raghavan, Deokwoo Jung, Yukinori Sasaki, Yosuke Tajika:
High-Accuracy Unsupervised Fault Detection of Industrial Robots Using Current Signal Analysis. 1-8 - Shuichi Sato, Katsushi Sanda:
Degradation Estimation of Turbines in Wind Farm Using Denoising Autoencoder Model. 1-6 - Fraser Ewing, Philipp R. Thies, Jonathan K. H. Shek
A Physics-based prognostics approach for Tidal Turbines. 1-7 - Pengfei Wen, Shaowei Chen, Shuai Zhao
A Novel Bayesian Update Method for Parameter Reconstruction of Remaining Useful Life Prognostics. 1-8 - Alexios Koltsidopoulos Papatzimos, Philipp R. Thies, Jérôme Lonchampt, Antoine Joly, Tariq Dawood:
Data-Informed Lifetime Reliability Prediction for Offshore Wind Farms. 1-8 - Junqing Li, Luo Wang
Diagnosis Method for Hydro-generator Rotor Fault Based on Stochastic Resonance. 1-5 - Shichen Zeng, Guoliang Lu, Peng Yan:
Vibration feature extraction using local temporal self-similarity for rolling bearing fault diagnosis. 1-5 - Yuxuan Yang, Zhan Bao Gao, Shu Zhang, Xu Long Li:
An Operation Condition-Matched Similarity Method for Remaining Useful Life Estimation with Dynamic Sample Fusion. 1-9 - Xuanheng Tang, Jun Peng, Bin Chen, Fu Jiang, Yingze Yang, Rui Zhang, Dianzhu Gao, Xiaoyong Zhang, Zhiwu Huang:
A parameter adaptive data-driven approach for remaining useful life prediction of solenoid valves. 1-6 - Gabriel Michau, Olga Fink
Unsupervised Fault Detection in Varying Operating Conditions. 1-10 - Meng Li, Mohammadkazem Sadoughi, Sheng Shen, Chao Hu:
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Multi-model Gaussian Process. 1-6 - Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. 1-5 - Anne Kao, Nobal B. Niraula, Daniel Whyatt:
Part Name Normalization. 1-6 - Dengyu Xiao, Yixiang Huang, Chengjin Qin
Health Assessment for Crane Pumps based on Vehicle Tests using Deep Autoencoder and Metric Learning. 1-6 - Yan Su, Xue Rui Liang, Chenxuan Gu, Varun Khemani, Michael G. Pecht:
A Multivalued Test and Diagnostic Strategy Optimization Method for Aircraft System Fault Diagnosis. 1-6 - Jing Zhang, Daniel Nikovski, Teng-Yok Lee
Fault Detection and Classification of Time Series Using Localized Matrix Profiles. 1-7 - Adnan Mian, Richard Ronson:
Building the Tower of Babel for Big Data. 1-8 - Qi Zhao, Wenfeng Zhang, Yuhao Deng, Hongbo Zhao, Wenquan Feng:
Diagnosing Strong-fault Models with a Two-step A* Search Method. 1-8 - Gishan Don Ranasinghe
Generating Real-valued Failure Data for Prognostics Under the Conditions of Limited Data Availability. 1-8 - Tyler Cody, Stephen C. Adams, Peter A. Beling, Sherwood Polter, Kevin Farinholt, Nathan Hipwell, Ali Chaudhry, Kennet Castillo, Ryan Meekins:
Transferring Random Samples in Actuator Systems for Binary Damage Detection. 1-7 - Bernadin Namoano
Online change detection techniques in time series: An overview. 1-10 - Azeem Sarwar, Syed Bilal Mehdi:
Fault Diagnosis of Lubrication System in Internal Combustion Engine. 1-8 - Mao Saeki, Jun Ogata, Masahiro Murakawa, Tetsuji Ogawa:
Visual explanation of neural network based rotation machinery anomaly detection system. 1-4 - Simon Zhai
Formulation and Solution for the Predictive Maintenance Integrated Job Shop Scheduling Problem. 1-8 - Zechao Wang, Mingyao Liu, Yongzhi Qu, Qin Wei, Zude Zhou, Yuegang Tan, Liu Hong, Jun Zhang:
An FBG based smart clamp fabricated by 3D printing technology and its application to incipient clamp looseness detection. 1-10 - Yen-Chun Liu, Yuan-Jen Chang, Sheng-Liang Liu, Szu-Ping Chen:
Data-driven prognostics of remaining useful life for milling machine cutting tools. 1-5 - Guoyan Li, Linkai Niu, Liang Ma, Dehao Dong:
Load sharing analysis of compound planetary gear set with cracked sun gear. 1-6 - Pushe Zhao, Masaru Kurihara, Tojiro Noda, Hiroki Kashiwa, Masaki Hiyama:
Generating Mathematical Model of Equipment and Its Applications in PHM. 1-7 - Hamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta:
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. 1-7 - Anahid N. Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter De Boer:
Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning. 1-8 - Pengfei Lin, Jizhong Tao:
A Novel Bearing Health Indicator Construction Method Based on Ensemble Stacked Autoencoder. 1-9 - Carolin Wagner, Bernd Hellingrath
Implementing Predictive Maintenance in a Company: Industry Insights with Expert Interviews. 1-8 - Zhexiang Chi, Lijian Yang
Prognostics of polygonalization of high-speed railway train wheels using a generalized additive model smoothed by spline-backfitted kernel. 1-5 - Saikath Bhattacharya, Lance Fiondella, Saurabh Saxena, Michael G. Pecht:
Quantifying the Impact of Prognostic Distance on Average Cost per Cycle. 1-7 - Shisheng Zhong, Song Fu, Lin Lin, Xuyun Fu, Zhiquan Cui, Rui Wang:
A novel unsupervised anomaly detection for gas turbine using Isolation Forest. 1-6 - Shaowei Chen, Meng Wu, Shuai Zhao
A New Anomaly Detection Method Based on Multi-dimensional Condition Monitoring Data for Aircraft Engine. 1-7 - Andong Wang, Junqing Li, Yangshuo Ma, Fuchun Sun:
Faults Analysis of Double Water Inner Cooled Synchronous Machines. 1-7 - Farzaneh Ahmadzadeh, Jonas Biteus, Olof Steinert:
Remaining useful life Prediction of air spring. 1-5 - Dengshan Huang, Meinan Wang, Shuai Zhao
An Improved Particle Filter Method for Accurate Remaining Useful Life Prediction. 1-8 - Hongquan Jiang, Jianmin Gao, Fengshe Xia, Xiaoming Zhang, Tao Zhou, Dongcheng Liu:
Fault Recognition Technology for Pipeline Systems Based on Multi-feature Fusion of Monitoring Data. 1-7 - Fu Jiang, Jiajun Yang, Yijun Cheng, Xiaoyong Zhang, Yingze Yang, Kai Gao, Jun Peng, Zhiwu Huang:
An Aging-Aware SOC Estimation Method for Lithium-Ion Batteries using XGBoost Algorithm. 1-8 - Yuejian Chen
Early gear tooth crack detection based on singular value decomposition. 1-6 - Mengyao Wu, Wei Dai
Research on the Propagation of Defects in Assembly Process Based on SIR Epidemic Model. 1-6 - Guigang Zhang, Sujie Li, Nan Yang, Haixia Su, Jian Wang, Lan Huang, Huiyun Wang:
Research on General Aircraft Cluster Health Assessment Method. 1-6 - Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta:
Remaining Useful Life Estimation Using Functional Data Analysis. 1-8 - Nastaran Enshaei, Farnoosh Naderkhani:
Application of Deep Learning for Fault Diagnostic in Induction Machine's Bearings. 1-7 - Robert Meissner
A Measurement Frequency Estimation Method for Failure Prognosis of an Automated Tire Condition Monitoring System. 1-8 - Ozhan Gecgel
Gearbox Fault Diagnostics Using Deep Learning with Simulated Data. 1-8 - Varun Khemani, Michael H. Azarian, Michael G. Pecht:
Electronic Circuit Diagnosis with No Data. 1-7 - Zejun Zheng, Dongli Song, Xiaoyue Qi, Zilin Geng, Weihua Zhang:
Wheel Polygonalization Identification Method Based on Fluctuation of Temperature Data and Wheel Set Dynamic Monitoring Data. 1-5 - Portia Banerjee, Rajendra Prasath Palanisamy
Data-driven Prognosis of Fatigue-induced Delamination in Composites using Optical and Acoustic NDE methods. 1-10 - Hongzhi Song, Li Li, Xingkuan Yang, Zhenzhong Fan:
Construction and Application of Failure Prediction and Health Management System for Bearing of Running Gear of Rolling Stock. 1-6 - Linkai Niu, Fengtao Wang, Guoyan Li, Chenguang Niu, Yuan Lan, Xiaoyan Xiong:
Calculating the Contact Forces at Imperfect Surfaces Considering Elastohydrodynamic Lubrication Effects in Rolling Element Bearings. 1-6 - Debejyo Chakraborty, Megan E. McGovern:
NDE 4.0: Smart NDE. 1-8 - Lu Yang, Jian Wang, Guigang Zhang, Xingwang Li, Haiyan Fu:
An Adaptive Fault Diagnosis System Framework for Aircraft Based on Man-in-loop. 1-4 - Dan Xu, Jiaolan He, You Li:
Operating state evaluation of smart electricity meter based on data fusion method. 1-8 - Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan:
Fault Detection and Estimation for a Class of Nonlinear Distributed Parameter Systems. 1-8 - Yuan Liu, Avisekh Banerjee, Houman Hanachi, Amar Kumar:
Data-Driven Model Selection Study for Long-Term Performance Deterioration of Gas Turbines. 1-8 - Rong Yao, Chongdang Liu, Linxuan Zhang, Peng Peng:
Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature Extraction. 1-7 - Khaled Akkad
A Hybrid Deep Learning Based Approach for Remaining Useful Life Estimation. 1-6 - Namkyoung Lee
A Comparative Study of Deep Learning-Based Diagnostics for Automotive Safety Components Using a Raspberry Pi. 1-7 - Farhad Balali, Hamid Seifoddini, Adel Nasiri:
Essentials to Develop Data-Driven Predictive Models of Prognostics and Health Management for Distributed Electrical Systems. 1-8 - Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. 1-8 - Dong Xu, Zhaojun Steven Li:
Dynamic Programming Model for Multi-Stage Reliability Growth Planning. 1-6 - Meng Ma, Zhu Mao
Deep Recurrent Convolutional Neural Network for Remaining Useful Life Prediction. 1-4 - Derek Low, Lisa M. Jackson, Sarah Dunnett:
Diagnosis of Membrane Chemical Degradation For Health Management of Polymer Electrolyte Fuel Cells. 1-8 - Mohammadkazem Sadoughi, Hao Lu
A Deep Learning Approach for Failure Prognostics of Rolling Element Bearings. 1-7 - Yunyou Lu, Xiaoping Fan, Dianzhu Gao, Yijun Cheng, Yingze Yang, Xiaoyong Zhang, Shuo Li, Jun Peng:
A Data-Based Approach for Sensor Fault Detection and Diagnosis of Electro-Pneumatic Brake. 1-6 - Pengfei Liang, Chao Deng, Jun Wu
Intelligent Fault Diagnosis of Rolling Element Bearing Based on Convolutional Neural Network and Frequency Spectrograms. 1-5 - Maximilian Benker
Estimating remaining useful life of machine tool ball screws via probabilistic classification. 1-7
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