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Home » LMS » CRE Preparation Course » V. A. Reliability Testing Planning » V. A. 1. a. Reliability Test Strategies – Types of Testing

by Fred Schenkelberg Leave a Comment

V. A. 1. a. Reliability Test Strategies – Types of Testing

V. Reliability Testing
A. Reliability test planning

1. Reliability test strategies (Create)

Create and apply the appropriate test strategies (e.g., truncation, test-to-failure, degradation) for various product development phases.

In this lesson the focus is on the various type of reliability related testing.

 

  • mp4 V. A. 1. a. Reliability Test Strategies - Types of Testing video Download
  • pdf V. A. 1. a. Reliability Test Strategies - Types of Testing slides Download
  • mp3 V. A. 1. a. Reliability Test Strategies - Types of Testing audio Download

Additional References

SOR 070 Creating a Reliability Program Plan that optimizes usage of reliability testing and tools (podcast)

Mechanical Systems Reliability Testing (article

Reliability Testing Considerations (article)

Norris Landberg solder joint fatigue (article)

Quick Quiz

1-2. Identify the kind of failure that would most likely result from insufficient hardware debugging.

(A) early failure
(B) wear-out failure
(C) random failure
(D) catastrophic failure

Answer

(A) early failure

Discussion

The key wording is “most likely” as all types of failure may occur. The best answer in this case corresponds to the type of failures that will most likely occur if the process to find faults or errors is not done well (insufficient hardware debugging).

Since debugging or any product testing typically find faults or errors that are quickly revealed as failure, the most likely issues left undiscovered will also occur soon after the hardware is placed into service, i.e. early failure.

It is possible to conduct insufficient hardware debugging which finds all types of failure except wear-out failure mechanisms. The question does not include information about the details of debugging conducted, just a generic insufficient. Don’t over think the question or potential answers.

Random or catastrophic failures may be detected in hardware testing, plus defects undiscovered may lead to these types of failures. The likelihood of random or catastrophic failures are also more difficult to discover via product testing then the failures that have a decreasing hazard rate (early failures).


1-88. Why must a vendor perform tests on parts?

(A) to estimate total costs
(B) to determine functional capability under specified environmental conditions
(C) to identify the material flow and manufacturing processes to use
(D) to optimize configuration and size

Answer

(B) to determine functional capability under specified environmental conditions

Discussion

Testing is done for many reasons, and from the question there is little information on the nature or pupose of the testing. Yet one thing a vendor has to provide is component/part specificaitons. These are often based on component testing done by the vendor prior to listing performance and environmental conditions on a data sheet.


1-92. Various tests are performed on a new part as specified by a reliability engineer. Which of the following would not be a direct result of those tests?

(A) a disclosure of the part’s deficiencies
(B) data useful to estimate MTBF
(C) knowledge about whether the part meets requirements
(D) an improvement in reliability

Answer

(D) an improvement in reliability

Discussion

Testing does not improve reliability, it only reflects the current state which is useful for the other three options. One could argue that screening out bad units improves field reliability, yet the actual reliability does not really change, we just find and remove failures before they reach customer (or try to as it is a very ineffective process and expensive in most cases)


1-133. A sample for 400 parts is split into two subgroups, each of 200 parts. Testing is performed on each subgroup and each test is stopped after the first failure in that subgroup. A plot is then made of the times to first failure the distribution parameters are estimated. How would you best describe this type of testing?

(A) censored testing
(B) sudden-death testing
(C) step-stress testing
(D) hazard-rate testing

Answer

(B) sudden-death testing

Discussion

The description of the test approach fits the definition of sudden death testing. See the paper by Ryszard Motyka for a comparison of sudden death testing versus traditional censored life testing. http://matwbn.icm.edu.pl/ksiazki/cc/cc36/cc36111.pdf


1-138. In general, why is reliability testing performed?

I.   to monitor reliability growth as a function of time
II.  to meet or exceed customer expectations
III. to detect unanticipated failure modes
IV.  to compare estimated and actual failure rates

 

(A) I and III only
(B) II and IV only
(C) I, II, and III only
(D) I, II, III, and IV

Answer

(D) I, II, III, and IV

Discussion

All valid reasons for reliability testing. In general we conduct testing to learn something about the design of a product or system. We want to reveal problems or check progress toward a goal or to verify design changes are effective. Every reliability test should include a clear statement about the information the test results will provide. Ideally it will also include who needs to make a decision based on the results.

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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
        • II. A. 6. Sample Size Determination
      • 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
        • II. A. 7. c. Selecting Control Charts
        • II. A. 7. d. Individual and Moving Range Charts
        • 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
        • II. A. 7. j. Pre-Control Charts
        • Statistical Process Control and Process Capability Introduction
      • II. A. Basic Concepts Quiz
    • II. B. Statistical Inference
      • Statistical Inference Introduction
      • II. B. 1. Point Estimates of Parameters
      • II. B. 2. a. Statistical Intervals – Point Estimates
      • II. B. 2. b. Statistical Intervals – MTBF Estimates
      • II. B. 3. a. Hypothesis Testing – The Process
      • II. B. 3. b. Hypothesis Testing – Means
      • II. B. 3. c. Hypothesis Testing – Variance
      • II. B. 3. d. Hypothesis Testing – Comparisons
      • 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
      • III. A. 6. Tolerance and Worst-Case Analysis
    • III. A. 7. Design of Experiments
      • Design of Experiments Introduction
      • III. A. 7. a. How We Experiment
      • 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
      • III. A. 9. Reliability Optimization
      • III. A. 10. Human Factors
      • III. A. 11. Design for X – DFX
      • III. A. 12. Reliability Apportionment or Allocation Techniques
      • III. A. Reliability Design Techniques Quiz
    • 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
      • III. B. 3. Parts Obsolescence Management
      • III. B. 4. Establishing Specifications
      • III. B. Parts and Systems Management Quiz
    • IV. Reliability Modeling and Predictions
      • Reliability Modeling and Predictions Introduction
    • IV. A. Reliability Modeling
      • Reliability Modeling Introduction
      • 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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