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International Journal of Prognostics and Health Management

2018: Vol 9

Issues: [Issue 1]

Technical Papers

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
abstract
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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
abstract
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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
abstract
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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
abstract
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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
abstract
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