1 / 4

Reliability Analysis of a Ti-35II Calculator

Reliability Analysis of a Ti-35II Calculator. Rensselaer Polytechnic Institute Department of Engineering and Science DSES-6070 HV6 Statistical Methods for Reliability Engineering Term Project Curtis Heath Riewe August 11, 2008. Problem Description.

davis-deleon
Download Presentation

Reliability Analysis of a Ti-35II Calculator

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Reliability Analysis of a Ti-35II Calculator Rensselaer Polytechnic InstituteDepartment of Engineering and ScienceDSES-6070 HV6 Statistical Methods for Reliability EngineeringTerm Project Curtis Heath Riewe August 11, 2008

  2. Problem Description • Analytically determine the reliability of a Texas Instruments Ti-35II calculator • Determine mean time to failure (MTBF) • Determine number of calculators that fail in the first month per million sold for warrantee issues • Determine the which component that has the most impact on reliability

  3. Methodology • Tear down calculator to construct bill-of-materials • Determine reliability of each component using Lambda Predict 2 • Specification MIL-217 • Calculate the reliability of the system Rs using a series model • Calculate the failure probability, Fs. • Calculate the Birnbaums Numbers for the system

  4. Results • 99,520 hours Mean Time Between Failures • 7330 Units can be expected to fail within the 30 day warrantee period per million sold. • 84503 Units can be expected to fail within one year of purchase per million sold. • The switch has the most significant affect on reliability of the calculator

More Related