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Vol. 9 No. 1 (2018): International Journal of Prognostics and Health Management
Vol. 9 No. 1 (2018): International Journal of Prognostics and Health Management
Published:
2018-01-01
Technical Papers
Hierarchical Reasoning about Faults in Cyber-Physical Energy Systems using Temporal Causal Diagrams
Ajay D Chhokra, Nagabhushan Mahadevan, Abhishek Dubey, Saqib Hasan, Daniel Balasubramanian, Gabor Karsai
Abstract
218 | PDF Downloads
149 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2669
PDF
A Novel Method for Sensor Data Validation based on the analysis of Wavelet Transform Scalograms
Francesco Cannarile, Piero Baraldi, Pierluigi Colombo, Enrico Zio
Abstract
228 | PDF Downloads
203 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2670
PDF
Traffic System Anomaly Detection using Spatiotemporal Pattern Networks
Tingting Huang, Chao Liu, Anuj Sharma, Soumik Sarkar
Abstract
230 | PDF Downloads
225 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2671
PDF
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
Abstract
411 | PDF Downloads
528 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2689
PDF
A Method for Automated Cavitation Detection with Adaptive Thresholds
Seth W. Gregg, John P.H. Steele, Douglas L. Van Bossuyt
Abstract
223 | PDF Downloads
211 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2691
PDF
Diagnosing and PredictingWind 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
Abstract
531 | PDF Downloads
383 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2692
PDF
On-board Clutch Slippage Detection and Diagnosis in Heavy Duty Machine
Elisabeth K¨allstr¨om, Tomas Olsson, John Lindstr¨om, Lars Hakansson, Jonas Larsson
Abstract
244 | PDF Downloads
445 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2693
PDF
Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers
P. Krishnakumar, K. Rameshkumar, K. I. Ramachandran
Abstract
548 | PDF Downloads
513 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2694
PDF
A Review of Data-Driven 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
Abstract
691 | PDF Downloads
573 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2695
PDF
Bayesian based Prognostic Model for Predictive Maintenance of Offshore Wind Farms
Masoud Asgarpour, John Dalsgaard Sørensen
Abstract
240 | PDF Downloads
244 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2696
PDF
Bayesian Stochastic Neural Network Model for Turbomachinery Damage Prediction
Shuhua Yang, Xiaomo Jiang, Shengli Xu, Xiaofang Wang
Abstract
284 | PDF Downloads
253 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2697
PDF
Enhanced production surveillance using probabilistic dynamic models
Ashutosh Tewari, Stijn de Waele, Niranjan Subrahmanya
Abstract
201 | PDF Downloads
208 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2698
PDF
Selecting Suitable Candidates for Predictive Maintenance
W. W. Tiddens, A.J.J. Braaksma, T. Tinga
Abstract
688 | PDF Downloads
967 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2699
PDF
Verification of Prognostic Algorithms to Predict Remaining Flying Time for Electric Unmanned Vehicles
Edward F. Hogge, Brian M. Bole, Sixto L. Vazquez, Chetan S. Kulkarni, Thomas H. Strom, Boyd L. Hill, Kyle M. Smalling, Cuong C. Quach
Abstract
249 | PDF Downloads
234 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2700
PDF
Traffic sensor health monitoring using spatiotemporal graphical modeling
Linjiang Wu, Chao Liu, Tingting Huang, Anuj Sharma, Soumik Sarkar
Abstract
202 | PDF Downloads
186 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2701
PDF
Performance Assessment of a Wind Turbine Using SCADA based Gaussian Process Model
Ravi Kumar Pandit, David Infield
Abstract
261 | PDF Downloads
315 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2702
PDF
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