False Alarm Mitigation of Vibration Diagnostic Systems
False alarms in legacy aircraft diagnostic systems have negatively impacted fleet maintenance costs and mission readiness. As the industry moves towards more advanced prognostic and health management (PHM) solutions, a reduction in false alarms is needed to reduce the cost and readiness burdens that...
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creator | Byington, C.S. Watson, M.J. Sanket Amin Begin, M. |
description | False alarms in legacy aircraft diagnostic systems have negatively impacted fleet maintenance costs and mission readiness. As the industry moves towards more advanced prognostic and health management (PHM) solutions, a reduction in false alarms is needed to reduce the cost and readiness burdens that have plagued legacy systems. It is therefore important to understand why these false alarms occur and how they are generated so appropriate mitigation solutions can be included in next-generation diagnostic systems. This paper examines four major sources of false alarms in the development of vibration diagnostics (faulty sensor performance, transient system operating conditions, improper health indicator selection, and inadequate fault detection logic) and details a solution designed to mitigate their impact. An overview of the developed false alarm statistics toolbox for PHM (FAST PHM™) software is also provided to illustrate how the software guides design engineers through the processes of verifying data, processing for diagnostic features, analyzing feature performances, developing "virtual" features through fusion, and deriving statistically optimized feature thresholds. The developed approach will improve the overall performance, robustness, and reliability of vibration diagnostic and prognostics systems. |
doi_str_mv | 10.1109/AERO.2008.4526620 |
format | Conference Proceeding |
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An overview of the developed false alarm statistics toolbox for PHM (FAST PHM™) software is also provided to illustrate how the software guides design engineers through the processes of verifying data, processing for diagnostic features, analyzing feature performances, developing "virtual" features through fusion, and deriving statistically optimized feature thresholds. 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An overview of the developed false alarm statistics toolbox for PHM (FAST PHM™) software is also provided to illustrate how the software guides design engineers through the processes of verifying data, processing for diagnostic features, analyzing feature performances, developing "virtual" features through fusion, and deriving statistically optimized feature thresholds. 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As the industry moves towards more advanced prognostic and health management (PHM) solutions, a reduction in false alarms is needed to reduce the cost and readiness burdens that have plagued legacy systems. It is therefore important to understand why these false alarms occur and how they are generated so appropriate mitigation solutions can be included in next-generation diagnostic systems. This paper examines four major sources of false alarms in the development of vibration diagnostics (faulty sensor performance, transient system operating conditions, improper health indicator selection, and inadequate fault detection logic) and details a solution designed to mitigate their impact. An overview of the developed false alarm statistics toolbox for PHM (FAST PHM™) software is also provided to illustrate how the software guides design engineers through the processes of verifying data, processing for diagnostic features, analyzing feature performances, developing "virtual" features through fusion, and deriving statistically optimized feature thresholds. The developed approach will improve the overall performance, robustness, and reliability of vibration diagnostic and prognostics systems.</abstract><pub>IEEE</pub><doi>10.1109/AERO.2008.4526620</doi><tpages>11</tpages></addata></record> |
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identifier | ISSN: 1095-323X |
ispartof | 2008 IEEE Aerospace Conference, 2008, p.1-11 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Aircraft Costs Fault detection Logic design Prognostics and health management Sensor systems Software design Software performance Software tools Statistical analysis |
title | False Alarm Mitigation of Vibration Diagnostic Systems |
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