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Home » LMS » CRE Preparation Course » V. B. Testing During Development » V. B. 1. Accelerated Life Tests

by Fred Schenkelberg Leave a Comment

V. B. 1. Accelerated Life Tests

V. Reliability Testing
B. Testing during development

Describe the purpose, advantages, and limitations of each of the following types of tests, and use common models to develop test plans, evaluate risks, and interpret test results.

1. Accelerated life tests (e.g., single-stress, multiple-stress, sequential stress, step-stress) (Evaluate)

Build, conduct, and interpret accelerated testing takes more knowledge than briefly covered here.

 

  • mp4 V. B. 1. Accelerated Life Tests video Download
  • pdf V. B. 1. Accelerated Life Tests slides Download
  • mp3 V. B. 1. Accelerated Life Tests audio Download

Additional References

Select the Right Accelerated Life Test Approach (recorded webinar)

Accelerated life testing first steps (article)

Life Testing Starting Point (article)

Quick Quiz

1-132. Accelerated cycling is performed on a sample of devices for six months under normal operating conditions. What can be gained by a cycling program?

(A) It can reduce premature failures in use.
(B) It can reduce the constant failure rate probability.
(C) It can ensure acceptable customer quality.
(D) It can discover all failure mechanisms.

Answer

(A) It can reduce premature failures in use.

Discussion

Thermal cycling is a commons stress products experience and if there are early life failures susceptible to thermal cycling stress, they will fall out in the testing. This permits the team to conduct detailed failure analysis and improve the design or assembly process as needed to minimize the specific failures.

Testing at normal operating conditions for 6 months may be the entire expected lifetime of a product, yet more often (and we’re not given any indication of the expected lifetime) product are expected to last long then 6 months. The product will likely experience thermal cycling in normal use and if it experiences one such cycle per day, it is possible to test more cycles per day in thermal chambers, providing an acceleration factor.

Without more details there is little to use to form a clear picture of the benefits of the testing. (C) implies this test will ensure customer quality, which is unlikely accomplished by one test using a single stress factor. (D) has the word “all” which is a key as no single test is able to reveal all failure mechanisms.

(B) is possibly an answer, yet it is addressing constant failure rates and accelerated cycling generally addresses design/assembly type mistakes or longer term wear out or fatigue failure mechanisms which are generally not considered contributors to a constant failure rate.


1-137. An expensive mechanical part needs to be evaluated to determine its adherence to design requirements. Why would accelerated life testing be conducted on such a part?

(A) because test to provide adequate reliability performance information under normal operating conditions would take too long
(B) because the error in the population resulting from part-to-part variation is too large
(C) because the probability density function of the product follows either a lognormal or a Weibull distribution
(D) because the current sample size and the life distribution indicate that wear-out is likely

Answer

(A) because test to provide adequate reliability performance information under normal operating conditions would take too long

Discussion

Accelerated life testing is done to cheat time. To shorten the time it takes to learn about the relationship between stress and time to failure. In some cases, a failure mechanism occurs with the same fundamental pattern at a higher applied stress. If we have or can determine a relationship between stress and time to failure we can effectively shorten the time to failure in a meaningful manner.

 

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About Fred Schenkelberg

I am the reliability expert at FMS Reliability, a reliability engineering and management consulting firm I founded in 2004. I left Hewlett Packard (HP)’s Reliability Team, where I helped create a culture of reliability across the corporation, to assist other organizations.

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  • CRE Preparation Course
    • Course Introduction
      • Welcome
      • Introduction
      • Thank You for Your Interest in the Course
      • Exam Day
      • Preparation Approach
      • Discussion Forums Introduction
      • CRE Sample Quiz
      • Terms Glossary
      • Math Quiz
      • Body of Knowledge 2009 version
      • Body of Knowledge 2018 version
    • Reliability Management
      • Reliability Management Introduction
    • I. A. Strategic Management
      • Strategic Management Introduction
      • I. A. 1. Benefits of Reliability Engineering
      • I. A. 2. Interrelationship of Safety, Quality, and Reliability
      • I. A. 3. Role of the Reliability Function
      • I. A. 4. Product and Process Development
      • I. A. 5. Failure Consequences and Liability Management
      • I. A. 6. Warranty Management
      • I. A. 7. Customer Needs Assessment
      • I. A. 8. Supplier Reliability
      • I. A. Strategic Management Quiz
      • I. A. Bonus — Building Influence
    • I. B. Reliability Program Management
      • Reliability Program Management Introduction
      • I. B. 1. Terminology
      • I. B. 2. Elements of a Reliability Program
      • I. B. 3. Types of Risk
      • I. B. 4. Product Lifecycle Engineering
      • I. B. 5. Design Evaluation
      • I. B. 6. Systems Engineering and Integration
      • I. B. Reliability Program Management Quiz
    • I. C. Ethics, Safety, and Liability
      • Ethics, Safety, and Liability Introduction
      • I. C. 1. Ethical Issues
      • I. C. 2. Roles and Responsibilities
      • I. C. 3. System Safety
      • I. C. Ethics, Safety, and Liability Quiz
    • II. Probability and Statistics for Reliability
      • Probability and Statistics for Reliability Introduction
    • II. A. Basic Concepts
      • Basic Concepts Introduction
      • II. A. I. Statistical Terms
        • II. A. I. a. Basic Statistical Terms
        • II. A. I. b. Measures of Central Tendency
        • II. A. I. c. Central Limit Theorem
        • II. A. I. d. Measures of Dispersion
        • II. A. 1. e. COV and a Couple of Laws
      • II. A. 2. Basic Probability Concepts
        • II. A. 2. a. Probability
        • II. A. 2. b. Laws and Counting
        • II. A. 2. c. Expectation
      • II. A. 3. Discrete and Continuous Probability Distributions
        • II. A. 3. a. The Four Functions
        • II. A. 3. b. Continuous Distributions
        • II. A. 3. c. Discrete Distributions
        • II. A. 3. d. Bathtub Curve
      • II. A. 4. Poisson Process Models
        • Poisson Process Models Introduction
        • II. A. 4. a. Homogeneous Poisson Process
        • II. A. 4. b. Repair System Terminology
        • II. A. 4. c. Non-Homogenous Poisson Process
        • II. A. 4. d. Mann Reverse Arrangement Test
        • II. A. 4. e. Laplace’s Trend Test
        • II. A. 4. f. Fisher’s Composite Test
      • II. A. 5. Non-Parametric Statistical Methods
        • II. A. 5. a. The Approach
        • II. A. 5. b. Ranking
        • II. A. 5. c. Reliability and Comparisons
        • Non-Parametric Statistical Methods Introduction
      • II. A. 6. Sample Size Determination
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      • II. A. 7. Statistical Process Control and Process Capability
        • II. A. 7. a. Control Charts Introduction
        • II. A. 7. b. X-bar and R charts
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        • II. A. 7. e. Attribute Charts
        • II. A. 7. f. The Analysis
        • II. A. 7. g. Process Capability
        • II. A. 7. h. Standard Normal and z-values
        • II. A. 7. i. Capability and Charts
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        • Statistical Process Control and Process Capability Introduction
      • II. A. Basic Concepts Quiz
    • II. B. Statistical Inference
      • Statistical Inference Introduction
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      • II. B. 2. b. Statistical Intervals – MTBF Estimates
      • II. B. 3. a. Hypothesis Testing – The Process
      • II. B. 3. b. Hypothesis Testing – Means
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      • II. B. Statistical Inference Quiz
    • III. Reliability in Design and Development
      • Reliability in Design and Development Introduction
    • III. A. Reliability Design Techniques
      • Reliability Design Techniques Introduction
      • III. A. 1. Environmental and Use Factors
      • III. A. 2. Stress-Strength Analysis
      • III. A. 3. FMEA and FMECA
      • III. A. 4. Common Mode Failure Analysis
      • III. A. 5. Fault and Success Tree Analysis
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    • III. A. 7. Design of Experiments
      • Design of Experiments Introduction
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      • III. A. 7. b. Differences and Approaches
      • III. A. 7. c. Language of DOE
      • III. A. 7. d. Only the Right Experiments
      • III. A. 7. e. Steps to Accomplish
      • III. A. 7. f. Dealing with Measurements
      • III. A. 7. g. Interactions and Confounding
      • III. A. 7. h. Adjusting the Design
      • III. A. 7. i. Classical DOE
      • III. A. 7. j. Various Designs
      • III. A. 7. k. A Simple Taguchi Example
      • III. A. 7. l. Robust Design
    • III. A. more Reliability Design Techniques
      • III. A. 8. Fault Tolerance
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      • III. A. 10. Human Factors
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    • III. B. Parts and Systems Management
      • Parts and Systems Management Introduction
      • III. B. 1. a. Selection, Standardization, and Reuse – Parts
      • III. B. 1. b. Selection, Standardization, and Reuse – Software
      • III. B. 2. Derating Methods and Principles
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      • III. B. 4. Establishing Specifications
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    • IV. Reliability Modeling and Predictions
      • Reliability Modeling and Predictions Introduction
    • IV. A. Reliability Modeling
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      • IV. A. 1. Sources and Uses of Reliability Data
      • IV. A. 2. a. Reliability Block Diagrams and Models – Series Systems
      • IV. A. 2. b. Reliability Block Diagrams and Models – Parallel Systems
      • IV. A. 2. c. Reliability Block Diagrams and Models – Redundancy
      • IV. A. 2. d. Reliability Block Diagrams and Models – Complex
      • IV. A. 2. e. Reliability Block Diagrams and Models – Keynote
      • IV. A. 3. Physics of Failure Models
      • IV. A. 4. a. Simulation Techniques – Markov Models
      • IV. A. 4. b. Simulation Techniques – Monte Carlo
      • IV. A. 5. Dynamic Reliability
      • IV. A. Reliability Modeling quiz
    • IV. B. Reliability Predictions
      • Reliability Predictions Introduction
      • IV. B. 1. Parts Count Predictions and Parts Stress Analysis
      • IV. B. 2. a. Reliability Prediction Models – Considerations
      • IV. B. 2. b. Reliability Prediction Models – Uncertainty
      • IV. B. 2. c. Reliability Prediction Models – Tolerance Intervals
      • IV. B. Reliability Predictions quiz
    • V. Reliability Testing
      • Reliability Testing Introduction
    • V. A. Reliability Testing Planning
      • Reliability Testing Planning Introduction
      • V. A. 1. a. Reliability Test Strategies – Types of Testing
      • V. A. 1. b. Reliability Test Strategies – Human Factors Testing
      • V. A. 2. Test Environment
      • V. A. Reliability Test Planning quiz
    • V. B. Testing During Development
      • Testing During Development Introduction
      • V. B. 1. Accelerated Life Tests
      • V. B. Bonus – A Few Models
      • V. B. 2. Discovery Testing
      • V. B. 3. Reliability Growth Testing
      • V. B. 4. Software Testing
      • V. B. Testing During Development quiz
    • V. C. Product Testing
      • Product Testing Introduction
      • V. C. 1. a. Qualification Demonstration Testing – PRST
      • V. C. 1. b. Qualification Demonstration Testing – Success Testing
      • V. C. 2. Product Reliability Acceptance Testing – PRAT
      • V. C. 3. Ongoing Reliability Testing
      • V. C. 4. Stress Screening
      • V. C. 5. Attribute Testing
      • V. C. 6. Degradation Testing
      • V. C. Bonus – Acceleration Factors
      • V. C. Product Testing quiz
    • VI. Maintainability and Availability
      • Maintainability and Availability Introduction
    • VI. A. Management Strategies
      • Management Strategies Introduction
      • VI. A. 1. a. Planning
      • VI. A. 1. b. Planning – System Effectiveness
      • VI. A. 1. c. Planning – Reliability Time
      • VI. A. 2. a. Maintenance Strategies – RCM
      • VI. A. 2. b. Maintenance Strategies – TPM
      • VI. A. 2. c. Maintenance Strategies – Allocation
      • VI. A. 3. Availability Tradeoffs
      • VI. A. Management Strategies quiz
    • VI. B. Maintenance and Testing Analysis
      • Maintenance and Testing Analysis Introduction
      • VI. B. 1. Preventative Maintenance Analysis
      • VI. B. 2. Corrective Maintenance Analysis
      • VI. B. 3. Non-Destructive Evaluation
      • VI. B. 4. Testability
      • VI. B. 5. Spare Parts Analysis
      • VI. B. Maintenance and Testing Analysis quiz
    • VII. Data Collection and Use
      • Data Collection and Use Introduction
    • VII. A. Data Collection
      • Data Collection Introduction
      • VII. A. 1. a. Types of Data
      • VII. A. 1. b. Types of Data – Censored Data
      • VII. A. 2. Collection Methods
      • VII. A. 3. Data Management
      • VII. A. Data Collection quiz
    • VII. B. Data Use
      • Data Use Introduction
      • VII. B. 1. Data Summary and Reporting
      • VII. B. 2. Preventive and Corrective Actions
      • VII. B. 3. Measures of Effectiveness
      • VII. B. Data Use quiz
    • VII. C. Failure Analysis and Correction
      • Failure Analysis and Correction Introduction
      • VII. C. 1. Failure Analysis Methods
      • VII. C. 2. Failure Reporting, Analysis, and Corrective Action System
      • Exam Day Bonus
      • VII. C. Failure Analysis and Correction quiz

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