Cargando…
Sensor Systems for Prognostics and Health Management
Prognostics and health management (PHM) is an enabling discipline consisting of technologies and methods to assess the reliability of a product in its actual life cycle conditions to determine the advent of failure and mitigate system risk. Sensor systems are needed for PHM to monitor environmental,...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3247731/ https://www.ncbi.nlm.nih.gov/pubmed/22219686 http://dx.doi.org/10.3390/s100605774 |
_version_ | 1782220159128174592 |
---|---|
author | Cheng, Shunfeng Azarian, Michael H. Pecht, Michael G. |
author_facet | Cheng, Shunfeng Azarian, Michael H. Pecht, Michael G. |
author_sort | Cheng, Shunfeng |
collection | PubMed |
description | Prognostics and health management (PHM) is an enabling discipline consisting of technologies and methods to assess the reliability of a product in its actual life cycle conditions to determine the advent of failure and mitigate system risk. Sensor systems are needed for PHM to monitor environmental, operational, and performance-related characteristics. The gathered data can be analyzed to assess product health and predict remaining life. In this paper, the considerations for sensor system selection for PHM applications, including the parameters to be measured, the performance needs, the electrical and physical attributes, reliability, and cost of the sensor system, are discussed. The state-of-the-art sensor systems for PHM and the emerging trends in technologies of sensor systems for PHM are presented. |
format | Online Article Text |
id | pubmed-3247731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32477312012-01-04 Sensor Systems for Prognostics and Health Management Cheng, Shunfeng Azarian, Michael H. Pecht, Michael G. Sensors (Basel) Review Prognostics and health management (PHM) is an enabling discipline consisting of technologies and methods to assess the reliability of a product in its actual life cycle conditions to determine the advent of failure and mitigate system risk. Sensor systems are needed for PHM to monitor environmental, operational, and performance-related characteristics. The gathered data can be analyzed to assess product health and predict remaining life. In this paper, the considerations for sensor system selection for PHM applications, including the parameters to be measured, the performance needs, the electrical and physical attributes, reliability, and cost of the sensor system, are discussed. The state-of-the-art sensor systems for PHM and the emerging trends in technologies of sensor systems for PHM are presented. Molecular Diversity Preservation International (MDPI) 2010-06-08 /pmc/articles/PMC3247731/ /pubmed/22219686 http://dx.doi.org/10.3390/s100605774 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Review Cheng, Shunfeng Azarian, Michael H. Pecht, Michael G. Sensor Systems for Prognostics and Health Management |
title | Sensor Systems for Prognostics and Health Management |
title_full | Sensor Systems for Prognostics and Health Management |
title_fullStr | Sensor Systems for Prognostics and Health Management |
title_full_unstemmed | Sensor Systems for Prognostics and Health Management |
title_short | Sensor Systems for Prognostics and Health Management |
title_sort | sensor systems for prognostics and health management |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3247731/ https://www.ncbi.nlm.nih.gov/pubmed/22219686 http://dx.doi.org/10.3390/s100605774 |
work_keys_str_mv | AT chengshunfeng sensorsystemsforprognosticsandhealthmanagement AT azarianmichaelh sensorsystemsforprognosticsandhealthmanagement AT pechtmichaelg sensorsystemsforprognosticsandhealthmanagement |