Reliability Engineering 101

Reliability Engineering 101 Training Course by TONEX

Reliability Engineering 101  training is a 2-day basic reliability engineering training course for electrical, mechanical, software, maintenance, reliability and quality assurance engineers, project managers and technicians covering the fundamentals of reliability.

Reliability is defined as probability of performing a specified function without failure under given conditions for a specified period of time.

Reliability Engineering 101 training is designed for practicing professionals interested in increasing product and system reliability. Reliability Engineering 101 training course covers many important reliability related topics.

Reliability Engineering 101 course is intended for anyone interested in understanding what reliability and reliability engineering are and how it will transform their products and systems development to the desired state.

Learning Objectives

• Describe basic concepts of reliability engineering
• List the motivations for reliability and reliability engineering
• List the various reliability benefits applied to process, design, products and systems
• Explain different reliability terms and concepts such as MTBF, MTTR and MTTF
• Discuss differences and similarities between failure rate, reliability, availability and unavailability
• Discuss  reliability of a repairable vs.a non-repairable system
• Discuss different reliability predictions models including MIL-217, Telcordia,
• Explain the role of design tools for reliability predictions
• Describe FMEA, FMECA, Process FMEA, Design FMEA, FTA, RDB, Markov, and Event Tree Analysis (ETA)

Audience:

“Reliability Engineering 101” training by Tonex is designed for individuals and professionals who are interested in or responsible for improving the reliability of products, systems, or processes. This training program can benefit a wide range of participants, including:

• Engineers: Reliability engineers, design engineers, quality engineers, and maintenance engineers can gain valuable insights into the principles and practices of reliability engineering.
• Managers and Supervisors: Managers and supervisors responsible for ensuring the reliability and performance of products or systems within their organizations can benefit from understanding the fundamentals of reliability engineering.
• Quality Assurance Professionals: Quality assurance and quality control professionals can learn how reliability engineering concepts can be integrated into their quality management processes.
• Maintenance and Operations Personnel: Those involved in the maintenance and operation of equipment and systems can benefit from this training to help improve the reliability and availability of assets.
• Product Developers: Individuals involved in developing new products can gain a better understanding of how to design for reliability from the beginning.
• Project Managers: Project managers can learn how to incorporate reliability engineering principles into project planning and execution to deliver more reliable outcomes.
• Risk Analysts: Professionals responsible for assessing and managing risks in various industries can benefit from understanding how reliability engineering contributes to risk mitigation.
• Anyone Interested in Reliability: Individuals who have a general interest in reliability engineering and want to expand their knowledge and skills in this field.

Course Content

What is Reliability?

• Reliability definitions and concepts
• Maintainability, availability. planned downtime, failure and failure rate
• Reliability analysis
• Reliability predictions
• Predict the failure rate of components
• Overall system reliability
• Evaluating design feasibility
• Comparing design alternatives
• Tools to identify potential failure areas
• Trade-off system design factors
• Principals behind failure Rates
• Reliability predictions and failure rates
• Failure rate calculations
• Component data
• Temperature, environment, and stress
• Basic measure of reliability
• Mean Time Between Failures (MTBF)
• MTBF for both repairable and non-repairable
• Mean Time To Failure (MTTF)
• MTTF for non-repairable systems
• Mean Time To Repair (MTTR)

What is Reliability Engineering?

• Role of reliability engineers and engineering processes
• Reliability engineering activities
• What is maintenance prevention?
• Proactive maintenance
• FPA, RCFA, new and rebuilt equipment
• Analytical techniques for improvement
• Elements of a reliability improvement system
• Introduction to probability and statistics
• Risk analysis
• Design for Reliability (DFR)
• Weibull and life data analysis
• Reliability and maintainability analysis for repairable systems
• FMEA and FMECA
• Failure Reporting, Analysis and Corrective Action Systems (FRACAS)
• Reliability Centered Maintenance (RCM)  
• Reliability Block Diagram (RBD)
• Fault Tree Analysis (FTA)
• Event Tree Analysis (ETA)
• System reliability and maintainability analysis
• Simulation modeling for reliability
• Design for Reliability (DFR)
• Root-Cause Failure Analysis (RCFA)

Reliability Management

• System effectiveness
• Availability, reliability, maintainability, and capability
• Management systems for reliability
• Bathtub curves for modes of failure
• Systems reliability
• Reliability tools
• Reliability for mechanical components
• Electronic system reliability
• Software reliability
• Reliability testing
• Reliability management
• Reliability policies and specifications
• Reliability audits
• Decision trees for reliability and system costs
• Critical items
• Reliability testing strategies

Reliability Modeling and Predictions

• Principles behind reliability modeling and predictions
• Reliability modeling
• Reliability testing
• Reliability predictions
• MIL-HDBK-217 (Electronic )
• Telcordia (Electronic)
• NSWC (Mechanical)
• IEC 62380 – RDF 2000 (Electronic)
• China 299B (Electronic)
• Failure Mode Effects and Criticality Analysis (FMECA)
• Reliability Block Diagram (RBD)
• Fault Tree Analysis (FTA)
• Event Tree Analysis (ETA)
• Binary Decision Diagram (BDD)
• Markov Analysis (MKV)
• MIL-HDBK-472 (MTTR)
• Spares Scaling and Ranging (Optcost/Repstock)