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Investigation of Turbine Electric Motor Winding Failure Rate Data

Investigation of Turbine Electric Motor Winding Failure Rate Data. DSES-6070 HV3 and HV4 Statistical Methods for Reliability Engineering Fall 2007. Michael Joy Pratt and Whitney Global Service Engineering. 12/4/2007. System Description & Objective.

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Investigation of Turbine Electric Motor Winding Failure Rate Data

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  1. Investigation of Turbine Electric Motor Winding Failure Rate Data DSES-6070 HV3 and HV4 Statistical Methods for Reliability Engineering Fall 2007 Michael Joy Pratt and Whitney Global Service Engineering 12/4/2007

  2. System Description & Objective • High reliability is critical to electric motors • To illustrate several key points, reliability data of electric motor failure will be evaluated. Objective: • Compare part replacement strategies and determine their impact on system performance • Three strategies compared: • Advanced Diagnostics • Prognostics • Replace as needed (Baseline)

  3. Methodology and Approach Raw Data: • Evaluate failure data to determine reliability function using Minitab • Compare Reliability for motors operating in different temperatures • Model system using Monte Carlo simulation and compare to raw data. • Investigation of part replacement strategies will be simulated in a Monte Carlo system and costs associated will be highlighted.

  4. Results/Discussion For 100 Degrees: Mean(MTTF) 42.3453 For 80 Degrees: Mean(MTTF) 56.6179

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