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by Fred Schenkelberg 3 Comments

Body of Knowledge 2018 version

ASQ’s CRE Body of Knowledge

 

Taken in entirety from https://p.widencdn.net/evlmel/certified-reliability-engineer on August 6th, 2018. This is the 2018 update to the CRE BoK.

Reprinted with permission from American Society for Quality ©2018 ASQ, www.asq.org. No further distribution allowed without permission.


Body of Knowledge

Certified Reliability Engineer (CRE)

Topics in this Body of Knowledge include additional detail in the form of subtext explanations and the cognitive level at which the questions will be written. This information will provide useful guidance for both the Examination Development Committee and the candidates preparing to take the exam. The subtext is not intended to limit the subject matter or be all-inclusive of what might be covered in an exam. It is intended to clarify the type of content to be included in the exam. The descriptor in parentheses at the end of each entry refers to the highest cognitive level at which the topic will be tested. A more comprehensive description of cognitive levels is provided at the end of this document.

I. Reliability Fundamentals (25 Questions)

I. A. Leadership Foundations

  1. Benefits of reliability engineering
    Describe the value that reliability has on achieving company goals and objectives, and how reliability engineering techniques and methods improve programs, processes, products, systems, and services.  (Understand)
  2. Interrelationship of safety, quality, and reliability
    Describe the relationship of and distinguish between reliability and quality, and describe the importance of safety in reliability engineering and how reliability impacts safety. (Understand))
  3. Reliability engineer leadership responsibilities
    Describe how to be a reliability champion by influencing program decisions and facilitating cross-functional communication. (Understand)
  4. Reliability engineer role and responsibilities in the product life cycle
    Describe how the reliability engineer influences the product life cycle, and describe a reliability engineer’s role in the design review process in order to anticipate how reliability can impact risk and costs, and ensure performance over time. (Understand)
  5. Function of reliability in engineering
    Describe how reliability techniques can be used to apply best practices in engineering (e.g., measuring reliability early), how industry standards can impact reliability, and how reliability can inform the decision analysis process. (Analyze)
  6. Ethics in reliability engineering
    Identify appropriate ethical behaviors for a reliability engineer in various situations. (Evaluate)

I. B. Reliability Foundations

  1. Basic reliability terminology
    Explain basic terms related to reliability and the associated metrics (e.g., MTTF, MTBF, MTTR, service interval, maintainability, availability, failure rate, reliability, and bathtub curve). (Apply)
  2. Drivers of reliability requirements and targets
    Describe how customer expectations and industry standards, safety, liability, and regulatory concerns drive reliability requirements. (Understand)
  3. Corrective and preventive action (CAPA)
    Identify corrective and preventive actions to take in specific situations and evaluate their measures of effectiveness. (Evaluate)
  4. Root cause analysis
    Describe root cause analysis, and use a root cause and failure analysis tool to determine the causes of degradation or failure. (Evaluate)
  5. Product life-cycle engineering stages
    Describe the impact various life-cycle stages (concept/design, development/test, introduction, growth, maturity, decline) have on reliability, and the cost issues (product maintenance, life expectation, software defect phase containment, etc.) associated with those stages. (Understand)
  6. Economics of product maintainability and availability
    Describe the cost tradeoffs associated with product maintainability strategies and availability. (Understand)
  7. Cost of poor reliability
    Describe how poor reliability affects costs over the life cycle. (Understand)
  8. Quality triangle
    Describe the relationship between cost, time, and quality with respect to reliability. (Understand)
  9. Six Sigma methodologies
    Describe how Six Sigma principles support reliability engineering. (Understand)
  10. Systems engineering and integration
    Describe the role of reliability engineering within systems engineering, including the integration of components and their interfaces/interactions within the system. (Understand)

II. Risk Management (25 questions)

II. A. Identification

  1. Risk management techniques
    Use risk management tools and processes to identify, document, and track concerns. Identify and prioritize safety, economic, performance, and customer satisfaction concerns utilizing an appropriate risk management framework. (Analyze)
  2. Types of risk
    Identify the various types of risks, including technical, scheduling, safety, and financial, and describe their relationship to reliability. (Analyze)

II. B. Analysis

  1. Fault tree analysis (FTA)
    Use fault tree analysis (FTA) techniques to evaluate product or process failure. (Analyze)
  2. Failure mode and effects analysis (FMEA)
    Define and distinguish between failure mode and effects analysis (FMEA) and failure mode, effects, and criticality analysis (FMECA) and apply these techniques to systems, products, processes, and designs. (Evaluate)
  3. Common mode failure analysis
    Describe common mode failure (also known as common cause failure) and how it affects risk. (Understand)
  4. Hazard analysis
    Describe how hazard analysis informs the development process, and how information obtained as a result of the hazard analysis is used by the reliability engineer. (Understand)
  5. Risk matrix
    Describe how risk matrices are used in the assessment of risk in regard to likelihood and severity. (Understand)
  6. System safety
    Identify safety-related issues by analyzing customer feedback, design data, field data, and other information. Prioritize safety concerns, and identify steps that will minimize the improper use of equipment, products, or processes. (Evaluate)

II. C. Mitigation

Identify appropriate risk mitigation (treatment) plans to include controls that will minimize risk and subsequent impact in terms of safety, liability, and regulatory compliance. (Evaluate)

III. Probability and Statistics for Reliability (35 questions)

III. A. Basic Concepts

  1. Basic statistics
    Define various basic statistical terms (e.g., population, parameter, statistic, sample, the central limit theorem, parametric, and nonparametric), and compute and interpret their values. (Analyze)
  2. Basic probability concepts
    Use basic probability concepts (e.g., independence, mutually exclusive, conditional probability), and compute and interpret the expected values. (Analyze)
  3. Probability distributions
    Compare and contrast various distributions (e.g., binomial, Poisson, exponential, Weibull, normal, and log-normal), and recognize their associated probability plots. (Analyze)
  4. Probability functions
    Compare and contrast various probability functions (e.g., cumulative distribution functions (CDFs), probability density functions (PDFs), and hazard functions), and recognize their application in various situations. (Apply)
  5. Sampling plans for statistics and reliability testing
    Use various theories, tables, and formulas to determine appropriate sample sizes or testing time for statistical and reliability testing. (Apply)
  6. Statistical process control (SPC) and process capability studies (Cp, Cpk)
    Define and describe SPC and process capability studies (Cp, Cpk, etc.), control charts, and how each is related to reliability. (Understand)
  7. Confidence and tolerance intervals
    Compute confidence intervals and tolerance intervals, draw conclusions from the results, and describe how point estimates are used to determine the interval. (Evaluate)

III. B. Data Management

  1. Sources and uses of reliability data
    Describe sources of reliability data (prototype, development, test, field, warranty, published, etc.), their advantages and limitations, and how the data can be used to measure and enhance product reliability. (Analyze)
  2. Types of data
    Identify and distinguish between various types of data (e.g., attributes vs. variable, discrete vs. continuous, censored vs. complete, and univariate vs. multivariate). Select appropriate analysis tools based on the data type. (Evaluate)
  3. Data collection methods
    Identify and select appropriate data collection methods (e.g., surveys, automated tests, automated monitoring, and reporting tools) in order to meet various data analysis objectives and data quality needs. (Evaluate)
  4. Data summary and reporting
    Examine collected data for accuracy and usefulness. Analyze, interpret, and summarize data for presentation using various techniques, based on data types, sources, and required output. (Create)
  5. Failure analysis methods
    Describe failure analysis tools and methods (e.g., mechanical, materials, physical analysis, and scanning electron microscopy (SEM)) that are used to identify failure mechanisms. (Understand)
  6. Failure reporting, analysis, and corrective action system (FRACAS)
    Identify elements necessary for FRACAS, and demonstrate the importance of a closed-loop process. (Evaluate)

IV. Reliability Planning, Testing, and Modeling (35 questions)

IV. A. Planning

  1. Reliability test strategies
    Develop and apply the appropriate test strategies (e.g., truncation, test-to-failure, degradation, growth plan, and test, analyze, and fix (TAAF)) for various product development phases. (Evaluate)
  2. Environmental and conditions of use factors
    Identify environmental and use factors (e.g., temperature, humidity, and vibration) and stresses (e.g., severity of service, electrostatic discharge (ESD), throughput, and duty cycle) to which a product may be subjected. (Analyze)
  3. Failure consequence
    Describe the importance of identifying the consequences of failure modes when establishing reliability acceptance criteria. (Understand)
  4. Failure criteria
    Define and describe failure criteria based on system requirements and warranty terms and conditions. (Understand)
  5. Test environment
    Appraise the environment in terms of system location and operational conditions, and designate the environment in the test plan to ensure an appropriate test strategy is implemented. (Evaluate)

IV. B. Testing

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. (Evaluate)

  1. Accelerated life tests
    (single-stress, multiple-stress, sequential stress, step-stress, HALT, margin tests)
  2. Stress screening
    (ESS, HASS, burn-in tests)
  3. Qualification/ Demonstration testing
    (sequential tests, fixed-length tests)
  4. Degradation
    (wear-to-failure) testing
  5. Software testing
    (white-box, black-box, operational profile, and fault-injection)

IV. C. Modeling

  1. Reliability block diagrams and models
    Generate and analyze various types of block diagrams and models, including series, parallel, partial redundancy, and time-dependent. (Evaluate)
  2. Physics of failure and failure mechanisms
    Identify various potential failure mechanisms (e.g., fracture, corrosion, memory corruption) and describe the physical process of these failures. (Apply)
  3. Failure models
    Select appropriate theoretical models (e.g., Arrhenius, S-N curve) to assess or predict failure rates. (Analyze)
  4. Reliability prediction methods
    Use various reliability prediction methods (e.g., Monte Carlo Simulation, part stress analysis, and parts count prediction) for both repairable and nonrepairable components and systems, and describe the inputs into the model. (Apply)
  5. Design prototyping
    Describe the advantages and limitations of prototyping to enhance product reliability. (Understand)

V. Life-Cycle Reliability (30 questions)

V. A. Reliability Design Techniques

  1. Design evaluation techniques (validation and verification)
    Explain how validation, verification, and other review techniques are used to assess the reliability of a product’s design at various life-cycle stages. (Apply)
  2. Stress-strength analysis
    Apply the stress-strength analysis method of calculating probability of failure, and interpret the results. (Analyze)
  3. Design of experiments (DOE)
    Develop and interpret the results of a standard design of experiments (DOE) (e.g., full factorial and fractional factorial). (Analyze)
  4. Reliability optimization
    Use various approaches to optimize reliability within the constraints of cost, schedule, weight, and other design requirements. (Apply)
  5. Human factors
    Describe the relationship between human factors and reliability engineering, including user safety, user and usage profiles, failure modes, and mechanisms. (Understand)
  6. Designs for X (DFX)
    Apply DFX techniques such as design for manufacturability, testability, and maintainability. (Apply)
  7. Designs for Reliability (DfR)
    Apply DfR in order to meet reliability requirements throughout the product or system life cycle. Understand how built-in reliability and fault tolerance/avoidance are key goals for design for reliability. (Evaluate)

V. B. Parts and Systems Development

  1. Materials and components selection techniques
    Apply techniques (e.g., derating and commercial off-the-shelf (COTS)) for selecting materials and components to meet reliability goals and requirements. (Analyze)
  2. Parts standardization and system simplification
    Describe the importance of standardization, simplification, and parts re-use to meet reliability goals and requirements. (Apply)

V. C. Maintainability

  1. Maintenance strategies
    Develop a maintenance plan incorporating various strategies (e.g., predictive maintenance, repair or replace decision making, spare parts analysis/forecasting, and equipment warranties). (Apply)
  2. Preventive maintenance (PM) analysis
    Define and use PM tasks, optimum PM intervals, and other elements of this analysis. Identify situations when PM is not effective. (Apply)
  3. Corrective maintenance analysis
    Describe and apply the elements of corrective maintenance analysis (e.g., fault-isolation time, repair/replace time, skill level, and crew hours). (Apply)

Levels of Cognition
based on Bloom’s Taxonomy – Revised (2001)

In addition to content specifics, the subtext for each topic in this BOK also indicates the intended complexity level of the test questions for that topic. These levels are based on “Levels of Cognition” (from Bloom’s Taxonomy – Revised, 2001) and are presented below in rank order, from least complex to most complex.

Remember
Recall or recognize terms, definitions, facts, ideas, materials, patterns, sequences, methods, principles, etc.

Understand 
Read and understand descriptions, communications, reports, tables, diagrams, directions, regulations, etc.

Apply 
Know when and how to use ideas, procedures, methods, formulas, principles, theories, etc.

Analyze
Break down information into its constituent parts and recognize their relationship to one another and how they are organized; identify sublevel factors or salient data from a complex scenario.

Evaluate
Make judgments about the value of proposed ideas, solutions, etc., by comparing the proposal to specific criteria or standards.

Create 
Put parts or elements together in such a way as to reveal a pattern or structure not clearly there before; identify which data or information from a complex set is appropriate to examine further or from which supported conclusions can be drawn.

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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.

Comments

  1. djr9515 says

    May 30, 2022 at 10:09 PM

    Hi Fred,

    Since the current course and the ASQ Practice Exams are based on the 2009 Body of Knowledge (BOK), is there a reference that indicates where to look in the new BOK? A two column spreadsheet seems like it would be the most helpful:

    *2009 BOK Topic* — *2018 BOK Topic (If Available)*

    > [2009] Part II (Probability & Stats for Reliability): Ch4.A “Basic Concepts”
    [2018] Part III (Probability & Stats for Reliability): Section A “Basic Concepts”

    > [2009] Part V (Reliability Testing): Ch10 “Reliability Test Planning”
    [2018] Part IV (Reliability Planning, Testing and Modeling): Section A “Reliability Test Strategies”

    Also, even more helpful would be what topics from the 2009 BOK were phased out, if any? Similarly, what topics were introduced with the 2018 BOK?

    This may be a comprehensive response but I was curious if these were already answered since it would help in knowing where to prioritize.

    Thank you!
    Rene Diaz

    Reply
    • Fred Schenkelberg says

      May 31, 2022 at 7:13 AM

      Hi Rene,

      Good question and one that I should update on the BOK pages

      In the meantime, here is a review of the 18 BOK rene.o.diaz4@gmail.com

      and what was added 8 New Topics in the ASQ CRE Body of Knowledge

      and what has dropped 10+ Dropped Items from the ASQ CRE Body of Knowledge

      Even though the stats section is a bit smaller and a bit vaguer in wording it still commands the bulk of the difference for those passing and not…

      cheers,

      Fred

      Reply
      • djr9515 says

        June 5, 2022 at 2:44 PM

        Thank you for the quick response!

        Reply

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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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