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

Matt Engelman, Justin Judkins, Sonia Vohnout, Eniko T Enikov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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. Our approach is to integrate MEMS sensors with a standard commercial microcontroller and measurement electronics. In this way, prognostic sensors can be positioned closer to the stressed components and provide higher fidelity data with lower cost. We present an innovative design for a prognostics and health management (PHM) data recorder that will facilitate sense-and-response logistics, and provide a small and inexpensive package. This low-cost, low-power, and lightweight solution is based largely on COTS components; it is implemented using a standard low-power lightweight microcontroller core and COTS MEMS sensors to record and process local temperature and vibration data, and status reporting is implemented using a short range wireless transceiver.

Original languageEnglish (US)
Title of host publicationAUTOTESTCON (Proceedings)
Pages343-350
Number of pages8
DOIs
StatePublished - 2010
Event45 Years of Support Innovation - Moving Forward at the Speed of Light, AUTOTESTCON 2010 - Orlando, FL, United States
Duration: Sep 13 2010Sep 16 2010

Other

Other45 Years of Support Innovation - Moving Forward at the Speed of Light, AUTOTESTCON 2010
CountryUnited States
CityOrlando, FL
Period9/13/109/16/10

Fingerprint

MEMS
Health
Sensors
Microcontrollers
Bearings (structural)
Costs
Military aircraft
Fatigue damage
Transceivers
Helicopters
Information management
Logistics
Electronic equipment
Acoustics
Wear of materials
Defects
Temperature

Keywords

  • CBM
  • CMOS
  • Condition-based maintenance
  • MEMS
  • PHM
  • Prognostics
  • Sensors

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

Cite this

Engelman, M., Judkins, J., Vohnout, S., & Enikov, E. T. (2010). Miniature MEMS-based data recorder for prognostics and health management (PHM). In AUTOTESTCON (Proceedings) (pp. 343-350). [5613608] https://doi.org/10.1109/AUTEST.2010.5613608

Miniature MEMS-based data recorder for prognostics and health management (PHM). / Engelman, Matt; Judkins, Justin; Vohnout, Sonia; Enikov, Eniko T.

AUTOTESTCON (Proceedings). 2010. p. 343-350 5613608.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Engelman, M, Judkins, J, Vohnout, S & Enikov, ET 2010, Miniature MEMS-based data recorder for prognostics and health management (PHM). in AUTOTESTCON (Proceedings)., 5613608, pp. 343-350, 45 Years of Support Innovation - Moving Forward at the Speed of Light, AUTOTESTCON 2010, Orlando, FL, United States, 9/13/10. https://doi.org/10.1109/AUTEST.2010.5613608
Engelman M, Judkins J, Vohnout S, Enikov ET. Miniature MEMS-based data recorder for prognostics and health management (PHM). In AUTOTESTCON (Proceedings). 2010. p. 343-350. 5613608 https://doi.org/10.1109/AUTEST.2010.5613608
Engelman, Matt ; Judkins, Justin ; Vohnout, Sonia ; Enikov, Eniko T. / Miniature MEMS-based data recorder for prognostics and health management (PHM). AUTOTESTCON (Proceedings). 2010. pp. 343-350
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