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International Journal of Prognostics and Health Management

Technical Papers

Editorial - Special Issue: Smart Manufacturing PHM
Brian A. Weiss, Philip Freeman, Jay Lee, Radu Pavel
International Journal of Prognostics and Health Management: Vol 7 (Special Issue on Smart Manufacturing PHM) 035, 4, 2016
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A data-driven approach for mode and anomaly detection from Spacecraft Telemetry Streams
Gautam Biswas, Hamed Khorasgani, Gerald Stanje, Abhishek Dubey, Somnath Deb, Sudipto Ghoshal
International Journal of Prognostics and Health Management: Vol 7 (Special Issue Big Data and Analytics) 033, 18, 2016
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IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities
Peter O'Donovan, Ken Bruton, Dominic T.J. O'Sullivan
International Journal of Prognostics and Health Management: Vol 7 (Special Issue Big Data and Analytics) 032, 11, 2016
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PHM Based Adaptive Power Management System for a More Electric Aircraft
ROBIN KUTTIKKADAN SEBASTIAN, Suresh Perinpinayagam, Alireza Alghassi
International Journal of Prognostics and Health Management: Vol 7 (2) 031, 13, 2016
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Emergent behavior in a system of industrial plants detected via manifold learning
Gueorgui Mihaylov, Matteo Spallanzani
International Journal of Prognostics and Health Management: Vol 7 (Special Issue Big Data and Analytics) 030, 16, 2016
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A SOM based Anomaly Detection Method for Wind Turbines Health Management through SCADA Data
Mian Du, Shicong Ma, Qing He, Lin Cheng, Jianbo Guo, Lina Bertling Tjernberg
International Journal of Prognostics and Health Management: Vol 7 (Special Issue Big Data and Analytics) 029, 13, 2016
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Integrating IVHM and Asset Design
Ian K. Jennions, Octavian Niculita, Manuel Esperon-Miguez
International Journal of Prognostics and Health Management: Vol 7 (2) 028, 16, 2016
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Case study: the implementation of a data-driven industrial analytics methodology and platform for smart manufacturing
Peter O'Donovan, Ken Bruton, Dominic T.J. O'Sullivan
International Journal of Prognostics and Health Management: Vol 7 (Special Issue on Smart Manufacturing PHM) 026, 21, 2016
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A Hybrid Approach for Fusing Physics and Data for Failure Prediction
Prashanth Pillai, Anshul Kaushik, Shivanand Bhavikatti, Arjun Roy, Virendra Kumar
International Journal of Prognostics and Health Management: Vol 7 (Special Issue Big Data and Analytics) 025, 12, 2016
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Big data analytics in online structural health monitoring
Guowei Cai, Sankaran Mahadevan
International Journal of Prognostics and Health Management: Vol 7 (Special Issue Big Data and Analytics) 024, 11, 2016
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Prognostics of Combustion Instabilities from Hi-speed Flame Video using A Deep Convolutional Selective Autoencoder
International Journal of Prognostics and Health Management: Vol 7 (Special Issue Big Data and Analytics) 023, 14, 2016
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Temporal Learning in Video Data using Deep Learning and Gaussian Processes
Devesh K. Jha, Abhishek Srivastav, Asok Ray
International Journal of Prognostics and Health Management: Vol 7 (Special Issue Big Data and Analytics) 022, 11, 2016
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Wearable EEG-based Activity Recognition in PHM-related Service Environment via Deep Learning
Soumalya Sarkar, Kishore Reddy, Alex Dorgan, Cali Fidopiastis, Michael Giering
International Journal of Prognostics and Health Management: Vol 7 (Special Issue Big Data and Analytics) 021, 10, 2016
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Combining Deep Learning and Survival Analysis for Asset Health Management
Linxia Liao, Hyung-il Ahn
International Journal of Prognostics and Health Management: Vol 7 (Special Issue Big Data and Analytics) 020, 7, 2016
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Probabilistic approach for Nondestructive Detection of Fatigue Crack Initiation and Sizing
Azadeh Keshtgar, Mohammad Modarres
International Journal of Prognostics and Health Management: Vol 7 (2) 019, 10, 2016
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Intelligent Fault Diagnosis Model for Rotating Machinery Based on Fusion of Sound Signals
SAIMURUGAN MUTHUSAMY, Nithesh R
International Journal of Prognostics and Health Management: Vol 7 (2) 018, 10, 2016
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Fault Diagnosis of Industrial Robot Bearings Based on Discrete Wavelet Transform and Artificial Neural Network
Alaa Abdulhady Jaber, ROBERT BICKER
International Journal of Prognostics and Health Management: Vol 7 (2) 017, 13, 2016
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A Review of Problem Structuring Methods for Consideration in Prognostics and Smart Manufacturing
Patrick Hester, Andrew Collins, Barry Ezell, John Horst
International Journal of Prognostics and Health Management: Vol 7 (Special Issue on Smart Manufacturing PHM) 016, 12, 2016
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A System-Based Approach to Monitoring the Performance of a Human Neuromusculoskeletal System
Marcus Musselman, Deanna Gates, Dragan Djurdjanovic
International Journal of Prognostics and Health Management: Vol 7 (2) 015, 14, 2016
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Adaptive Multi-scale Prognostics and Health Management for Smart Manufacturing Systems
Benjamin Choo, Stephen Adams, Jeremy Marvel, Brian A. Weiss, Peter A. Beling
International Journal of Prognostics and Health Management: Vol 7 (Special Issue on Smart Manufacturing PHM) 014, 15, 2016
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Advancing Measurement Science to Assess Monitoring, Diagnostics, and Prognostics for Manufacturing Robotics
Guixiu Qiao, Brian A. Weiss
International Journal of Prognostics and Health Management: Vol 7 (Special Issue on Smart Manufacturing PHM) 013, 13, 2016
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Present Status and Future Growth of Advanced Maintenance Technology and Strategy in US Manufacturing
Xiaoning Jin, Brian A. Weiss, David Seigel, Jay Lee
International Journal of Prognostics and Health Management: Vol 7 (Special Issue on Smart Manufacturing PHM) 012, 18, 2016
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Defining Optimal Maintenance Scope for Multiple k-out-of-n Load-Sharing Production Systems Connected in Series Based on RUL Predictions
Leonardo R. Rodrigues
International Journal of Prognostics and Health Management: Vol 7 (Special Issue on Smart Manufacturing PHM) 011, 12, 2016
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On the Practical Performance of Minimal Hitting Set Algorithms from a Diagnostic Perspective
Ingo Pill, Thomas Quaritsch, Franz Wotawa
International Journal of Prognostics and Health Management: Vol 7 (2) 010, 15, 2016
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An Inference-based Prognostic Framework for Health Management of Automotive Systems
Chaitanya Sankavaram, Anuradha Kodali, Krishna Pattipati, Satnam Singh, Yilu Zhang, Mutasim Salman
International Journal of Prognostics and Health Management: Vol 7 (2) 009, 16, 2016
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PHM-Based Wind Turbine Maintenance Optimization Using Real Options
Xin Lei, Peter A. Sandborn
International Journal of Prognostics and Health Management: Vol 7 (1) 008, 14, 2016
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A Probabilistic Machine Learning Approach to Detect Industrial Plant Faults
Wei Xiao
International Journal of Prognostics and Health Management: Vol 7 (1) 007, 11, 2016
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Prognostic of RUL based on Echo State Network Optimized by Artificial Bee Colony
Edgar J. Amaya, Alberto J. Alvares
International Journal of Prognostics and Health Management: Vol 7 (1) 006, 12, 2016
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Techniques for Large, Slow Bearing Fault Detection
Eric Bechhoefer, Rune Schlanbusch, Tor Inge Waag
International Journal of Prognostics and Health Management: Vol 7 (1) 005, 11, 2016
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Fault Log Recovery Using an Incomplete-data-trained FDA Classifier for Failure Diagnosis of Engineered Systems
Hyunjae Kim, Jong Moon Ha, Jungho Park, Sunuwe Kim, Keunsu Kim, Beom Chan Jang, Hyunseok Oh, Byeng D. Youn
International Journal of Prognostics and Health Management: Vol 7 (1) 004, 10, 2016
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Mission-based reliability prediction in component-based systems
Saideep Nannapaneni, Abhishek Dubey, Sherif Abdelwahed, Sankaran Mahadevan, Sandeep Neema, Ted Bapty
International Journal of Prognostics and Health Management: Vol 7 (1) 003, 14, 2016
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Quadrotor Accelerometer and Gyroscope Sensor Fault Diagnosis Using Nonlinear Adaptive Estimation Methods
Remus Avram, Xiaodong Zhang, Jonathan Muse
International Journal of Prognostics and Health Management: Vol 7 (1) 001, 10, 2016
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Communications

A Microscopic Approach for Generic Degradation Modeling
Farhang Momeni, Xiaoning Jin, Jun Ni
International Journal of Prognostics and Health Management: Vol 7 (Special Issue on Smart Manufacturing PHM) 027, 9, 2016
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