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Vol. 10 No. 2 (2019): International Journal of Prognostics and Health Management
Vol. 10 No. 2 (2019): International Journal of Prognostics and Health Management
Published:
2019-06-01
Technical Papers
A Comparison of Vibration based Bearing Fault Diagnostic Methods
Ted Ooijevaar, Kurt Pichler, Yuan Di, Clemens Hesch
Abstract
637 | PDF Downloads
664 |
DOI
https://doi.org/10.36001/ijphm.2019.v10i2.2726
PDF
A New Hybrid Prognostic Methodology
Omer F. Eker, Fatih Camci, Ian K. Jennions
Abstract
614 | PDF Downloads
694 |
DOI
https://doi.org/10.36001/ijphm.2019.v10i2.2727
PDF
An Adaptive Model-Based Framework for Prognostics of Gas Path Faults in Aircraft Gas Turbine Engines
Ogechukwu Alozie, Yi-Guang Li, Xin Wu, Xingchao Shong, Wencheng Ren
Abstract
489 | PDF Downloads
594 |
DOI
https://doi.org/10.36001/ijphm.2019.v10i2.2728
PDF
Vibration-based Condition Monitoring of Heavy Duty Machine Driveline Parts: Torque Converter, Gearbox, Axles and Bearings
K¨allstr¨om Elisabeth, Lindstr¨om John, H°akansson Lars, Karlberg Magnus, Lin Jing
Abstract
437 | PDF Downloads
350 |
DOI
https://doi.org/10.36001/ijphm.2019.v10i2.2729
PDF
A Review: Prognostics and Health Management in Automotive and Aerospace
Van Duc Nguyen, Marios Kefalas, Kaifeng Yang, Asteris Apostolidis, Markus Olhofer, Steffen Limmer, Thomas B¨ack
Abstract
1430 | PDF Downloads
7299 |
DOI
https://doi.org/10.36001/ijphm.2019.v10i2.2730
PDF
Simulating faults in a Boeing 737-200 Environmental Control System using a thermodynamic model
Manuel Esperon-Miguez, Ian K. Jennions, Ignacio Camacho Escobar, Nile Hanov
Abstract
427 | PDF Downloads
998 |
DOI
https://doi.org/10.36001/ijphm.2019.v10i2.2731
PDF
PHM Survey : Implementation of Diagnostic Methods for Monitoring Industrial Systems
Abdenour Soualhi, Bilal Elyousfi, Yasmine Hawwari, Kamal Medjaher, Guy Clerc, Razik Hubert, François Guillet
Abstract
619 | PDF Downloads
455 |
DOI
https://doi.org/10.36001/ijphm.2019.v10i2.2733
PDF
Intelligent Fault Diagnosis of Synchromesh Gearbox Using Fusion of Vibration and Acoustic Emission Signals for Performance Enhancement
T Praveenkumar, M Saimurugan, K I Ramachandran
Abstract
386 | PDF Downloads
338 |
DOI
https://doi.org/10.36001/ijphm.2019.v10i2.2738
PDF
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