Certified Reliability Engineer Training: CRE Certification Course

The Certified Reliability Engineer (CRE) is a professional certification provided by the American Society for Quality (ASQ) to individuals who have shown their expertise in the field of reliability engineering. ASQ is a worldwide organization that promotes quality improvement initiatives in different industries.

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The CRE certification aims to confirm an individual’s competence in the principles, practices, and methods of reliability engineering. It indicates that the certified engineer has met ASQ’s high standards and possesses a thorough grasp of reliability concepts and how they are applied in practical situations.

Engineers who plan to become CRE are strongly advised to take the Certified Reliability Engineer training course by PetroSync. Our training serves as a means to furnish engineers with the essential knowledge and proficiencies in the principles and practices of reliability engineering. Through the successful completion of this training, engineers acquire a thorough grasp of reliability concepts and their pragmatic implementation.

What Is Certified Reliability Engineer Training Course Overview?

This course will adhere to the established Body of Knowledge (BOK) for the certified Reliability Engineer (CRE) outlined by the ASQ. However, it will provide additional in-depth coverage of reliability analytics, reliability testing, and reliability statistical modeling. Overall, the Certified Reliability Engineer training course by PetroSync will cover the following aspects:

Probability and Statistics For Reliability
Reliability in Design and Development
Modeling and Predicting Reliability
Testing Reliability
Maintainability and Availability
Collecting and Utilizing Data
Data Collection and Use

What Is the Certified Reliability Engineer Training Course Objective?

The objective of the Certified Reliability Engineer training course is to provide you with the necessary knowledge and skills to become certified professionals in the field of reliability engineering. Read on to know the whole objectives of the training course.

Display a comprehension of the principles encompassed in reliability engineering.
Utilize the suitable probability distribution to measure the duration until failure in models.
Illustrate an understanding of the connection between the distribution of time until failure, the reliability function, and the hazard rate.
Establish a life test, estimate reliability values based on the test data, and determine confidence intervals for the outcomes.
Employ the necessary design tools to guarantee the reliability of a product, including prediction, allocation, and Failure Mode and Effects Analysis (FMEA).
Recognize the distinctions when evaluating the reliability of systems that can be repaired versus those that cannot.

What Is Certified Reliability Engineer Training Course Outline?

The outline regarding PetroSync’s Certified Reliability Engineer training course is listed down below. For a more detailed and complete outline, you can refer to PetroSync’s Certified Reliability Engineer training course.

Day 1: Reliability Management

Strategic management
Benefits of reliability engineering
Reliability engineering techniques and methods
Reliability in product and process development
Reliability engineering techniques integration with other development activities
Failure consequence and liability management
Warranty management
Basic reliability terms (e.g., MTTF, MTBF, MTTR, availability, failure rate, reliability, maintainability)
Types of risk
Design evaluation
Systems engineering and integration
Ethics, safety, and liability
Roles and responsibilities
System Safety
Identify safety-related issues by analyzing customer feedback, design data, field data, and other information
Case Study/Exercise: Performing FMEA studies as well as RCA (5 methods)

Day 2: Probability and Statistics for Reliability

Basic concepts
Statistical terms
Define and use terms such as population, parameter, statistic, sample, the central limit theorem, etc., and compute their values.
Basic probability concepts
Use basic probability concepts
Discrete and continuous probability distributions
Poison process models
Define and describe homogeneous and non-homogeneous Poisson process models (HPP and NHPP).
Non-parametric statistical methods
Apply non-parametric statistical methods, including median, Kaplan-Meier, Mann-Whitney, etc., in various situations.
Sample size determination
Use various theories, tables, and formulas to determine appropriate sample sizes for statistical and reliability testing.
Statistical process control (SPC) and process capability
Define and describe SPC and process capability studies (Cp, Cpk, etc.), their control charts, and how they are all related to reliability.
Statistical inference
Point estimates of parameters
Obtain point estimates of model parameters using probability plots, maximum likelihood methods, etc. Analyze the efficiency and bias of the estimators.
Statistical interval estimates

Day 3: Reliability in Design and Development

Reliability design techniques
Environmental and use factors
Identify environmental and use factors and stresses to which a product may be subjected.
Stress-strength analysis
Apply the stress-strength analysis method of computing the probability of failure, and interpret the results.
FMEA and FMECA
Define and distinguish between failure mode and effects analysis and failure mode, effects, and criticality analysis and apply these techniques in products, processes, and designs.
Common mode failure analysis
Describe this type of failure (also known as common cause mode failure) and how it affects design for reliability.
Fault tree analysis (FTA) and success tree analysis (STA)
Apply these techniques to develop models that can be used to evaluate undesirable (FTA) and desirable (STA) events.
Tolerance and worst-case analyses
Describe how tolerance and worst-case analyses (e.g., the root of sum of squares, extreme value) can be used to characterize variation that affects reliability.
Design of experiments
Fault tolerance
Define and describe fault tolerance and the reliability methods used to maintain system functionality.
Reliability optimization

Day 3/Day 4: Reliability Modeling and Predictions

Reliability modeling
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.
Reliability block diagrams and models
Generate and analyze various types of block diagrams and models, including series, parallel, partial redundancy, time-dependent, etc.
Physics of failure models
Identify various failure mechanisms (e.g., fracture, corrosion, memory corruption) and select appropriate theoretical models (e.g., Arrhenius, S-N curve) to assess their impact.
Simulation techniques
Describe the advantages and limitations of the Monte Carlo and Markov models.
Dynamic reliability
Describe dynamic reliability as it relates to failure criteria that change over time or under different conditions.
Reliability predictions
Part count predictions and part stress analysis
Use parts failure rate data to estimate system- and subsystem-level reliability.
Reliability prediction methods
Use various reliability prediction methods for both repairable and non-repairable components and systems, incorporating test and field reliability data when available
Case Study/Exercise: Data analytics and advanced topics (Markov chains and Monte Carlo simulation)

Day 4: Reliability Testing

Reliability test planning
Reliability test strategies
Create and apply the appropriate test strategies (e.g., truncation, test–to-failure, degradation) for various product development phases.
Test environment
Evaluate the environment in terms of system location and operational conditions to determine the most appropriate reliability test.
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.
Accelerated life tests (e.g., single-stress, multiple-stress, sequential stress, step-stress)
Discovery testing (e.g., HALT, margin tests, a sample size of 1),
Reliability growth testing (e.g., test, analyze, and fix (TAAF), Duane)
Software testing (e.g., white-box, black-box, operational profile, and fault-injection)
Product testing
Describe the purpose, advantages, and limitations of each of the following types of tests, and use common models to develop product test plans, evaluate risks, and interpret test results.
Qualification/demonstration testing (e.g., sequential tests, fixed-length tests)
Product reliability acceptance testing (PRAT)

Day 5: Maintainability and Availability

Management strategies
Planning
Develop plans for maintainability and availability that support reliability goals and objectives.
Maintenance strategies
Identify the advantages and limitations of various maintenance strategies (e.g., reliability-centered maintenance (RCM), predictive maintenance, repair or replace decision making), and determine which strategy to use in specific situations.
Availability tradeoffs
Describe various types of availability (e.g., inherent, operational), and the tradeoffs in reliability and maintainability that might be required to achieve availability goals.
Maintenance and testing analysis
Preventive maintenance (PM) analysis
Define and use PM tasks, optimum PM intervals, and other elements of this analysis, and identify situations in which PM analysis is not appropriate.
Corrective maintenance analysis
Describe the elements of corrective maintenance analysis (e.g., fault-isolation time, repair/replace time, skill level, crew hours) and apply them in specific situations.
Non-destructive evaluation

Data Collection and Use

Data collection
Types of data
Identify and distinguish between various types of data.
Collection methods
Data management
Describe key characteristics of a database
Data use
Data summary and reporting

Who Should Attend Certified Reliability Engineer Training Course?

The certified reliability engineer training course specifically benefit for but not limited to:

Maintenance and reliability professionals
Operations managers
Engineering managers

The PetroSync training course covers the established Body of Knowledge (BOK) outlined by the American Society for Quality (ASQ) for the CRE certification. You can receive in-depth coverage of reliability analytics, testing, and statistical modeling, equipping you with a comprehensive understanding of reliability engineering principles for certification preparation.

Aside from obtaining ASQ certification, PetroSync’s Certified Reliability Engineer (CRE) training course focuses on practical application by addressing reliability engineering techniques, methods, and tools used in product and process development. Participants learn how to perform failure mode and effects analysis (FMEA), conduct reliability testing, and optimize reliability through the design of experiments. Enroll in the Certified Reliability Engineer training course and excel in the field of reliability engineering with PetroSync!

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