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 436 | PDF Downloads 288 | 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 441 | PDF Downloads 336 | 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 498 | PDF Downloads 462 | 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 657 | PDF Downloads 815 | 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 473 | PDF Downloads 409 | 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 951 | PDF Downloads 672 | 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 521 | PDF Downloads 755 | 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 1202 | PDF Downloads 1059 | 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 471 | PDF Downloads 411 | 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 399 | PDF Downloads 369 | 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 1150 | PDF Downloads 1648 | 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 498 | PDF Downloads 411 | 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 426 | PDF Downloads 327 | DOI https://doi.org/10.36001/ijphm.2018.v9i1.2701