Simple Plots for Monitoring Field Reliability

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Benefits These procedures have been applied very effectively at Sun Microsystems for monitoring the reliability of Sun equipment at many customers. These methods have allowed Sun engineers to quickly identify trends, anomalous systems, unusual behavior, the effects of hardware and software changes, maintenance practices, and installation actions. Customers presented with TDR analysis reports have responded very favorably to these revealing charts. Dave Trindade, Swami Nathan, Sun Microsystems Track 1 Session 9 Slide Number: 42
Where to Get More Information Glosup, J., “Detecting Multiple Populations within a Collection of Repairable Systems”, Joint Statistical Meetings, Toronto, Canada, 2004 Lawson, J.S., Wesselmann, C.W., Scott, D.T.,''Simple Plots Improve Software Reliability Prediction Models'', Quality Engineering, Vol 15. No. 3. pp411-417, 2003. Nelson W., “Graphical Analysis of System Repair Data”, Journal of Quality Technology, 17, 140-146. Nelson, W., Recurrence Events Data Analysis for Product Repairs, Disease Recurrences and Other Applications, ASA-SIAM series on Statistics and Applied Probability, 2003. Tobias, P.A., Trindade, D.C., Applied Reliability, Chapman & Hall/CRC, 1995. Trindade, D.C., “An APL Program to Numerically Differentiate Data“, IBM TR Report 19.0361, January 12, 1975 Trindade, D.C., Nathan, S., “Simple Plots for Monitoring the Field Reliability of Repairable Systems”, Annual Reliability and Maintainability Symposium, Alexandria, Virginia, 2005 Usher, J.S., ''Case Study: Reliability Models and Misconceptions“, Quality Engineering, Vol. 6, No. 2, pp 261-271. Dave Trindade, Swami Nathan, Sun Microsystems Track 1 Session 9 Slide Number: 43
Page 1 and 2: ARS 2005 San Diego, California, USA
Page 3 and 4: Introduction Customers want to kno
Page 5 and 6: MTBF Hides Information Example with
Page 7 and 8: MTBF Assumptions: When is it OK ?
Page 9 and 10: MTBF-Inadequate Reliability Measure
Page 11 and 12: Time Dependent Reliability (TDR) T
Page 13 and 14: Cumulative Plots reveal trends Cumu
Page 15 and 16: MCF from Cumulative Plots # Fails 1
Page 17 and 18: Multicensoring Issues Because syst
Page 19 and 20: Left Censored Data System A System
Page 21 and 22: MCF calculation : Data Template Hi
Page 23 and 24: MCF, CI, Cumulative Plots Average #
Page 25 and 26: Glosup's Method One machine is rem
Page 27 and 28: Recurrence Rate A key characterist
Page 29 and 30: Recurrence Rate Vs Age Recurrence r
Page 31 and 32: Calendar Time Analysis Application
Page 33 and 34: Recurrence Rate Vs Date Example Rec
Page 35 and 36: Failure Cause Plots # Events 17 16
Page 37 and 38: NHPP Fitting MCF Dave Trindade, Swa
Page 39 and 40: Case Study 2 Comparison across cust
Page 41: Summary The analysis of repairable

Simple Plots for Monitoring Field Reliability

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