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 695 | PDF Downloads 408 | 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 721 | PDF Downloads 475 | 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 826 | PDF Downloads 652 | 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 1041 | PDF Downloads 1028 | 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 758 | PDF Downloads 587 | 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 1353 | PDF Downloads 967 | 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 863 | PDF Downloads 1026 | 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 1527 | PDF Downloads 1144 | 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 1697 | PDF Downloads 1516 | 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 712 | PDF Downloads 596 | 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 682 | PDF Downloads 528 | 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 633 | PDF Downloads 489 | 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 1493 | PDF Downloads 2035 | 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 779 | PDF Downloads 564 | 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 666 | PDF Downloads 443 | 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 750 | PDF Downloads 785 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2702
PDF