Laser Projector Field Reliability Dashboard: An Effective Tool to Monitor Product ReliabilityAuthors: Monika Wieder and Elena Gorcea
Company: Christie Digital Systems
Date Published: 6/5/2018 Conference: ICSR (Soldering and Reliability)
Non-parametric graphical models characterizing agedependent behavior, together with parametric modeling, provide a powerful combination of analytical tools for relevant field reliability metrics, for both internal and external stakeholders. Visualization capabilities have improved greatly in recent years, providing accessible tools for creating intuitive, nimble, yet complex dashboards. With careful consideration of the analytical needs of the stakeholders, an effective dashboard that incorporates multilayer drill-down features is a valuable investigative, as well as reporting tool.
Two reliability models are described in this paper, having been successfully used in combination to evaluate and monitor the field performance of a fleet of laser projectors spanning four years of service. The non-parametric model of Mean Cumulative Function (MCF) is used to characterize age-based behavior and is displayed as Mean Cumulative Repairs/100 units. The shape and slope of the MCF plot provides a quick visual indication of performance stability over time. The Crow-AMSAA Reliability Growth model is used to quantify reliability improvement and predict future behavior. A case study of comparative analysis is presented, where the non-homogeneous fleet data is sliced in more homogeneous subsets by customer and year of deployment. This is a powerful graphical method of quantifying reliability growth between subsequent designs and highlighting differences between applications. Annualized Failure Rate (AFR) is calculated for each drilldown subset, for each year-in-service, providing another powerful metric of performance over time that complements the graphical models of MCF and Crow-AMSAA.
Field reliability, reliability growth, nonparametric model for repairable systems, laser projectors
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