Miniature MEMS-based data recorder for prognostics and health management (PHM)

Sonia Vohnout, Matt Engelman, Eniko Enikov

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Novel prognostic sensors and reasoner algorithms are the core technology for detecting defects caused by accumulation of fatigue damage in electrical and mechanical systems over time. However, serious technical challenges to implementing a general health management strategy for helicopters and military aircraft still exist. For example, severe heat and vibration make it difficult to distinguish fault signatures from environmental noise. Moreover, bearing loads are very dynamic, making it difficult to distinguish subtle wear-out signatures from normal acoustic patterns. Detection can be improved by increasing the number of sensor locations, but this option is unattractive from the standpoint of added cost, weight, and data overhead of such a system.

Original languageEnglish (US)
Article number5961365
Pages (from-to)18-26
Number of pages9
JournalIEEE Instrumentation and Measurement Magazine
Volume14
Issue number4
DOIs
StatePublished - Aug 1 2011

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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