A Review: Prognostics and Health Management in Automotive and Aerospace

Van Duc Nguyen, Marios Kefalas, Kaifeng Yang, Asteris Apostolidis, Markus Olhofer, Steffen Limmer, and and Thomas Baeck
Publication Target: 
IJPHM
Publication Issue: 
2
Submission Type: 
Full Paper
AttachmentSizeTimestamp
ijphm_19_023.pdf1.13 MBNovember 14, 2019 - 6:37am

Prognostics and Health Management (PHM) attracts increasing interest of many researchers due to its potentially important applications in diverse disciplines and industries.
In general, PHM systems use real-time and historical state information of subsystems and components of the operating systems
to provide actionable information, enabling intelligent decision-making for improved performance, safety, reliability, and maintainability.
Every year, a substantial number of papers in this area including theory and practical applications, appear in academic journals, conference proceedings and technical reports. This paper aims to summarize and review researches, developments and recent contributions in PHM for automotive- and aerospace industries. It can also be considered as the starting point for researchers and practitioners in general to assist them through PHM implementation and help them to accomplish their work more easily.

Publication Year: 
2019
Publication Volume: 
10
Publication Control Number: 
023
Page Count: 
35
Submission Keywords: 
prognostics
Remaining useful Life
prediction
Aerospace
Automotive
prognostics and health management
Submission Topic Areas: 
Data-driven methods for fault detection, diagnosis, and prognosis
Health management system design and engineering
Industrial applications
Model-based methods for fault detection, diagnostics, and prognosis
Standards and methodologies
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