Reliability Analysis of a Ti-35II Calculator Rensselaer Polytechnic Institute Department of...

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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

Transcript of Reliability Analysis of a Ti-35II Calculator Rensselaer Polytechnic Institute Department of...

Page 1: Reliability Analysis of a Ti-35II Calculator Rensselaer Polytechnic Institute Department of Engineering and Science DSES-6070 HV6 Statistical Methods for.

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.

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.

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.

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