Reliability Analysis of a Ti-35II Calculator Rensselaer Polytechnic Institute Department of...
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![Page 1: Reliability Analysis of a Ti-35II Calculator Rensselaer Polytechnic Institute Department of Engineering and Science DSES-6070 HV6 Statistical Methods for.](https://reader036.fdocuments.in/reader036/viewer/2022082818/56649efe5503460f94c12a20/html5/thumbnails/1.jpg)
Reliability Analysis of a Ti-35II Calculator
Rensselaer Polytechnic InstituteDepartment of Engineering and Science
DSES-6070 HV6 Statistical Methods for Reliability Engineering
Term Project
Curtis Heath RieweAugust 11, 2008
![Page 2: Reliability Analysis of a Ti-35II Calculator Rensselaer Polytechnic Institute Department of Engineering and Science DSES-6070 HV6 Statistical Methods for.](https://reader036.fdocuments.in/reader036/viewer/2022082818/56649efe5503460f94c12a20/html5/thumbnails/2.jpg)
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
![Page 3: Reliability Analysis of a Ti-35II Calculator Rensselaer Polytechnic Institute Department of Engineering and Science DSES-6070 HV6 Statistical Methods for.](https://reader036.fdocuments.in/reader036/viewer/2022082818/56649efe5503460f94c12a20/html5/thumbnails/3.jpg)
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
![Page 4: Reliability Analysis of a Ti-35II Calculator Rensselaer Polytechnic Institute Department of Engineering and Science DSES-6070 HV6 Statistical Methods for.](https://reader036.fdocuments.in/reader036/viewer/2022082818/56649efe5503460f94c12a20/html5/thumbnails/4.jpg)
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