Predictive Maintenance of Military Systems Based on Physical Failure Models

نویسندگان

  • Enrico Zio
  • Piero Baraldi
  • Tiedo Tinga
چکیده

Preventive maintenance is required to keep critical systems available at reasonable costs. Instead of applying the traditional experience-based approach of statistical analysis of failure data, the present paper proposes to adopt a predictive maintenance policy that relies on detailed knowledge of the physical failure mechanisms. A structured scheme for this approach is presented. Then three case studies from the military, a helicopter, a naval gas turbine and a military vehicle, are used to demonstrate the benefits of this approach.

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تاریخ انتشار 2013