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International Journal of Prognostics and Health Management

Technical Papers

Bayesian Stochastic Neural Network Model for Turbomachinery Damage Prediction
Shuhua Yang, Xiaomo Jiang, Shengli Xu, Xiaofang Wang
International Journal of Prognostics and Health Management: Vol 9 (1) 018, 19, 2018
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Coal Pulverizer Prognostics Data Challenge in PHMAP 2017 and Suggestions for Future Studies
Hyunseok Oh, Yun Ho Seo, Min-Hwan Mo, Joo-Hyung Kim
International Journal of Prognostics and Health Management: Vol 9 (Special Issue from PHMAP17 Highlights) 016, 6, 2018
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Guidelines for the Characterization of the Internal Impedance of Lithium-Ion Batteries in PHM Algorithms
Aramis Perez, Matías Benavides, Heraldo Rozas, Sebastián Seria, Marcos Orchard
International Journal of Prognostics and Health Management: Vol 9 (Special Issue from PHMAP17 Highlights) 015, 10, 2018
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Development of a Real-Time Driver Health Detection System Using a Smart Steering Wheel
Jae-Cheon Lee, Hao Liu
International Journal of Prognostics and Health Management: Vol 9 (Special Issue from PHMAP17 Highlights) 013, 5, 2018
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A Review of Techniques to Mitigate Jamming in Electromechanical Actuators for Safety Critical Applications
Yameen M. Hussain, Stephen Burrow, Leigh Henson, Patrick Keogh
International Journal of Prognostics and Health Management: Vol 9 (Special Issue from PHMAP17 Highlights) 012, 11, 2018
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A High Fidelity Model Based Approach to Identify Dynamic Friction in Electromechanical Actuator Ballscrews using Motor Current
Yameen M. Hussain, Stephen Burrow, Leigh Henson, Patrick Keogh
International Journal of Prognostics and Health Management: Vol 9 (Special Issue from PHMAP17 Highlights) 011, 18, 2018
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Bayesian based Prognostic Model for Predictive Maintenance of Offshore Wind Farms
Masoud Asgarpour, John Dalsgaard Sørensen
International Journal of Prognostics and Health Management: Vol 9 (1) 010, 9, 2018
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A Review of Oil and Gas Pipeline Pitting Corrosion Growth Models Applicable for Prognostic and Health Management
Roohollah Heidary, Steven A.Gabriel, Mohammad Modarres, Katrina M.Groth, Nader Vahdati
International Journal of Prognostics and Health Management: Vol 9 (1) 009, 13, 2018
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Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers
P. Krishnakumar, K. Rameshkumar, K. I. Ramachandran
International Journal of Prognostics and Health Management: Vol 9 (1) 008, 15, 2018
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On-board Clutch Slippage Detection and Diagnosis in Heavy Duty Machine
Elisabeth Källström, Tomas Olsson, John Lindström, Lars Håkansson, Jonas Larsson
International Journal of Prognostics and Health Management: Vol 9 (1) 007, 14, 2018
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Diagnosing and Predicting Wind Turbine Faults from SCADA Data Using Support Vector Machines
Kevin Leahy, R. Lily Hu, Ioannis C. Konstantakopoulos, Costas J. Spanos, Alice M. Agogino, Dominic T.J. O'Sullivan
International Journal of Prognostics and Health Management: Vol 9 (1) 006, 11, 2018
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A Method for Automated Cavitation Detection with Adaptive Thresholds
Seth W. Gregg, John P.H. Steele, Douglas L. Van Bossuyt
International Journal of Prognostics and Health Management: Vol 9 (1) 005, 18, 2018
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Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks
Narendhar Gugulothu, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
International Journal of Prognostics and Health Management: Vol 9 (1) 004, 13, 2018
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Traffic System Anomaly Detection using Spatiotemporal Pattern Networks
Tingting Huang, Chao Liu, Anuj Sharma, Soumik Sarkar
International Journal of Prognostics and Health Management: Vol 9 (1) 003, 12, 2018
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Hierarchical Reasoning about Faults in Cyber-Physical Energy Systems using Temporal Causal Diagrams
Ajay Chhokra, Nagabhushan Mahadevan, Abhishek Dubey, Saqib Hasan, Daniel Allen Balasubramanian, Gabor Karsai
International Journal of Prognostics and Health Management: Vol 9 (1) 001, 22, 2018
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