Quality and Reliability Methods - SAS

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270 Recurrence Analysis Chapter 15 Examples 1. Open the Diesel Ship Engines.jmp sample data table, located within the Reliability folder. 2. Select Analyze > Reliability and Survival > Recurrence Analysis. 3. Complete the launch window as shown in Figure 15.8. Figure 15.8 Diesel Ship Engines Launch Window 4. Click OK.
Chapter 15 Recurrence Analysis 271 Examples Figure 15.9 Diesel Ship Engines Report Looking at the Event Plot, you can see that repairs for the Grampus4 engine have been relatively consistent, but initially more frequent. Repairs for the Halfbeak4 engine have been more sporadic, and there appears to be a spike in repairs somewhere around the 19,000 hour mark. This spike is even more obvious in the MCF Plot. Continue your analysis by fitting a parametric model to help predict future performance. 5. Select Fit Model from the red triangle menu next to Recurrence Analysis. 6. In the Recurrence Model Specification, select the Loglinear Nonhomogeneous Poisson Process. 7. Add the System ID column as both a Scale Effect and a Shape Effect. 8. Click Run Model.
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Chapter 11 Pareto Plots 187 Launch
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Chapter 19 Reliability and Survival
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References Abernethy, Robert B. (19
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References 407 Carroll, R.J., Ruppe
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References 409 Haaland, P.D. (1989)
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References 411 Lawless, J.F. (1982)
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References 413 Nelson, W.B. (2003),
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References 415 Snee, R.D. and Marqu
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Index JMP Quality and Reliability M
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Index 419 Fit SEV 242 Fit Weibull 2
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Index 421 Q Quantiles table 356 R R
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Index 423 Weibull Plot 360 Westgard
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Quality and Reliability Methods - SAS

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