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. Compare part replacement strategies and determine their impact on system performance Three strategies compared: –Advanced Diagnostics –Prognostics –Replace as needed (Baseline) Objective:

3. Methodology and Approach 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. Raw Data:

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