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• W2165350538 abstract "Measuring a machinery health parameter in a condition monitoring program is only half of the equation; at some point a limit must be set that initiates either further intensive monitoring or maintenance action. Limits are a fundamental and critical component of an effective condition monitoring program (often an integral part of a HUMS) and they can directly impact aircraft availability (e.g. rotor track and balance checks), or result in substantial maintenance burden (e.g. removal of machinery for overhaul based on wear debris). Limits therefore need to have a solid basis and often this is unknown, unclear or is questionable resulting in sub-optimal performance of the condition monitoring program. The traditional statistical-based philosophy behind setting limits dates back to early Statistical Process Control (SPC) work credited to Shewart [1] and Deming [2] in the 1930’s. Whilst the familiar Gaussian-based statistical approach (based on the average plus or minus some number of standard deviations) and the Cumulative Distribution Function (CDF) approach have been used extensively, the authors argue that such a fundamental component of a condition monitoring program now deserves more attention and rigour. Interestingly there is scant information in the literature about methodologies for setting in-service limits where the requisite minimum data sample is unavailable, unreliable or simply where the traditional approaches are not optimal or lack physical meaning. Conceptually, methodologies can be researched and developed that have a reasoned and validated foundation in the physics or chemistry of the machine element. This paper will provide some examples of areas where alternative approaches may have provided better outcomes. The authors argue that a purely statistical approach may not necessarily serve condition monitoring programs well in all instances and can in fact result in sub-optimal limits being set. Similarly, limits based on small data sets derived during accelerated production testing of aviation machinery may not be representative of the true in-service behaviour of the equipment. Questioning the pedigree of limits and reviewing limits in-service is essential for ensuring optimal performance of condition monitoring programs, however experience shows that this is often neglected." @default.
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• W2165350538 date "2013-01-01" @default.
• W2165350538 modified "2023-09-27" @default.
• W2165350538 title "Questioning how limits are set" @default.
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