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 1394 | PDF Downloads 980 | DOI https://doi.org/10.36001/ijphm.2019.v10i2.2726
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A New Hybrid Prognostic Methodology

Omer F. Eker, Fatih Camci, Ian K. Jennions
Abstract 1143 | PDF Downloads 1183 | DOI https://doi.org/10.36001/ijphm.2019.v10i2.2727
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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 1044 | PDF Downloads 936 | DOI https://doi.org/10.36001/ijphm.2019.v10i2.2728
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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 881 | PDF Downloads 624 | DOI https://doi.org/10.36001/ijphm.2019.v10i2.2729
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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 2384 | PDF Downloads 8320 | DOI https://doi.org/10.36001/ijphm.2019.v10i2.2730
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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 948 | PDF Downloads 2127 | DOI https://doi.org/10.36001/ijphm.2019.v10i2.2731
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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 1010 | PDF Downloads 855 | DOI https://doi.org/10.36001/ijphm.2019.v10i2.2733
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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 948 | PDF Downloads 818 | DOI https://doi.org/10.36001/ijphm.2019.v10i2.2738
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