PSAM 16 Conference Paper Overview
Welcome to the PSAM 16 Conference paper and speaker overview page.
Lead Author: Neda Shafiei Co-author(s): Jeffrey W. Herrmann, jwh2@umd.com
Aaron Krive, krive@lab126.com
Maxim Nikiforov, nikmaxim@amazon.com
Guneet Sethi, guneets@lab126.com
Mohammad Modarres, modarres@umd.edu
| Design of Reliability Test Specification for a New Product with Unknown Failure Modes |
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| This study proposes an approach for designing test specifications for a new product with unknown failure modes. This approach determines the sample size, and test conditions for reliability testing based on the target reliability, its confidence level, and manufacturer’s constraints including the test duration and maximum sample size. The approach obtains various use conditions (i.e., stress profiles and frequencies of use by the owners) from the same class of devices, such as earlier versions of the product already in use, by relying on customer survey data. Anticipated users (customers) applied stresses are summarized by introducing a normalized metric called stress-index (SI). The SI values and frequencies of customer use are clustered into various groups. Then, (1) a frequency-accelerated test is designed that applies the grouped use stresses to test samples but increases their frequencies, and (2) a stress-accelerated test is designed that uses a stress-life model to convert the actual customer use frequencies into higher stress reliability test frequencies, such that the same amount of damage as the use condition is accumulated. The number of samples for the frequency-accelerated and stress accelerated tests is calculated using the binomial distribution representing reliability of the products. A point estimate reliability and its lower bound can be estimated based on the test outcome. The application of the approach is illustrated for designing a reliability test plan using a simulated survey dataset for a hypothetical electronic device. |
Paper NS31 Preview
Author and Presentation Info
Lead Author Name: Neda Shafiei (nshafiei@umd.edu)
Bio: Neda Shafiei is a PhD candidate in the Mechanical Engineering department of the University of Maryland. She received her B.S. and M.S. in mechanical engineering . Her research activities are centered around her interest in the reliability of electronics and prognostic health management, and she has several publications in this area.
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Bio: Neda Shafiei is a PhD candidate in the Mechanical Engineering department of the University of Maryland. She received her B.S. and M.S. in mechanical engineering . Her research activities are centered around her interest in the reliability of electronics and prognostic health management, and she has several publications in this area.
Country: ---
Company:
Job Title: