TY - GEN
T1 - Performance Evaluation Metrics of PHM
T2 - 15th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Beijing 2024
AU - Liu, Jiaming
AU - Yi, Xiaojian
AU - Liu, Shulin
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Prognostics and Health Management (PHM) is a multidisciplinary technology essential for enhancing equipment reliability and operational efficiency across various industries. In the past decade, numerous researchers have proposed various metrics to measure the performance of PHM systems. This paper reviews PHM performance evaluation metrics from different perspectives of constructing a metrics system: function-based, component-based, and end-user-based. From a function-based perspective, we categorize the metrics affecting the comprehensive performance of PHM systems into three main dimensions: diagnosis, prognosis, and decision-making, and secondary dimensions such as computational performance, human-computer interaction, and cost-benefit. The majority of the performance evaluation metrics from the three main dimensions are summarized and presented. We anticipate this review work to guide PHM practitioners in selecting appropriate metrics during system design and development, fostering more reliable and user-centric PHM solutions.
AB - Prognostics and Health Management (PHM) is a multidisciplinary technology essential for enhancing equipment reliability and operational efficiency across various industries. In the past decade, numerous researchers have proposed various metrics to measure the performance of PHM systems. This paper reviews PHM performance evaluation metrics from different perspectives of constructing a metrics system: function-based, component-based, and end-user-based. From a function-based perspective, we categorize the metrics affecting the comprehensive performance of PHM systems into three main dimensions: diagnosis, prognosis, and decision-making, and secondary dimensions such as computational performance, human-computer interaction, and cost-benefit. The majority of the performance evaluation metrics from the three main dimensions are summarized and presented. We anticipate this review work to guide PHM practitioners in selecting appropriate metrics during system design and development, fostering more reliable and user-centric PHM solutions.
KW - performance metrics
KW - PHM performance
KW - Prognostics and health management (PHM)
UR - http://www.scopus.com/inward/record.url?scp=85219604484&partnerID=8YFLogxK
U2 - 10.1109/PHM-BEIJING63284.2024.10874789
DO - 10.1109/PHM-BEIJING63284.2024.10874789
M3 - Conference contribution
AN - SCOPUS:85219604484
T3 - 15th Global Reliability and Prognostics and Health Management Conference, PHM-Beijing 2024
BT - 15th Global Reliability and Prognostics and Health Management Conference, PHM-Beijing 2024
A2 - Wang, Huimin
A2 - Li, Steven
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 October 2024 through 13 October 2024
ER -
