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 89 | PDF Downloads 85 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2669

A Novel Method for Sensor Data Validation based on the analysis of Wavelet Transform Scalograms

Francesco Cannarile, Piero Baraldi, Pierluigi Colombo, Enrico Zio
Abstract 98 | PDF Downloads 99 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2670

Traffic System Anomaly Detection using Spatiotemporal Pattern Networks

Tingting Huang, Chao Liu, Anuj Sharma, Soumik Sarkar
Abstract 110 | PDF Downloads 123 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2671

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 148 | PDF Downloads 267 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2689

A Method for Automated Cavitation Detection with Adaptive Thresholds

Seth W. Gregg, John P.H. Steele, Douglas L. Van Bossuyt
Abstract 82 | PDF Downloads 95 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2691

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 180 | PDF Downloads 163 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2692

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 94 | PDF Downloads 141 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2693

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 313 | PDF Downloads 275 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2695

Bayesian Stochastic Neural Network Model for Turbomachinery Damage Prediction

Shuhua Yang, Xiaomo Jiang, Shengli Xu, Xiaofang Wang
Abstract 165 | PDF Downloads 134 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2697

Enhanced production surveillance using probabilistic dynamic models

Ashutosh Tewari, Stijn de Waele, Niranjan Subrahmanya
Abstract 89 | PDF Downloads 98 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2698

Selecting Suitable Candidates for Predictive Maintenance

W. W. Tiddens, A.J.J. Braaksma, T. Tinga
Abstract 258 | PDF Downloads 293 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2699

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 102 | PDF Downloads 117 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2700

Traffic sensor health monitoring using spatiotemporal graphical modeling

Linjiang Wu, Chao Liu, Tingting Huang, Anuj Sharma, Soumik Sarkar
Abstract 93 | PDF Downloads 91 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2701