Introduction to Reliability, Maintainability & Availability

Introduction to Reliability, Maintainability & Availability, available at $69.99, has an average rating of 4.57, with 86 lectures, based on 529 reviews, and has 3184 subscribers.

You will learn about What a failure is and why documenting the definition is important How complexity in a system decreases its reliability What the different failure data distributions are and how they apply to system reliability Failure Probability Density Function (PCF) and Cumulative Density Function (CDF) curves The mean, median and mode of failure data distributions The difference between Failure Rate λ(t) and Hazard Rate h(t) The concept of the bathtub curve and its limitations Reliability networks, types, and applications FMEA and an FMECA, their relationships, and their application to system design concepts The difference between Maintainability and Maintenance Why the Operational Concept mission scenario are important to RM&A The different maintenance levels and maintenance types Metrics used to measure maintainability Reliability-Centered Maintenance (RCM) is and its relationship to Condition-Based Maintenance (CBM) Finding an optimal balance between reliability, maintainability and product lifecycle cost The Potential-to-Failure (P-F) Concept The types of availability: Operational Availability (Ao), Inherent Availability (Ai), and Achieved Availability (Aa), and how to calculate each The relationship between Availability to Reliability and Maintainability This course is ideal for individuals who are Product Development Managers & Executives or Project Managers or Systems Engineers or Development team members or Design Engineers or Hardware Engineers or Process Engineers or Maintenance Professionals or Logisticians or Reliability Newcomers It is particularly useful for Product Development Managers & Executives or Project Managers or Systems Engineers or Development team members or Design Engineers or Hardware Engineers or Process Engineers or Maintenance Professionals or Logisticians or Reliability Newcomers.

Enroll now: Introduction to Reliability, Maintainability & Availability

Summary

Title: Introduction to Reliability, Maintainability & Availability

Price: $69.99

Average Rating: 4.57

Number of Lectures: 86

Number of Published Lectures: 85

Number of Curriculum Items: 86

Number of Published Curriculum Objects: 85

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

What a failure is and why documenting the definition is important
How complexity in a system decreases its reliability
What the different failure data distributions are and how they apply to system reliability
Failure Probability Density Function (PCF) and Cumulative Density Function (CDF) curves
The mean, median and mode of failure data distributions
The difference between Failure Rate λ(t) and Hazard Rate h(t)
The concept of the bathtub curve and its limitations
Reliability networks, types, and applications
FMEA and an FMECA, their relationships, and their application to system design concepts
The difference between Maintainability and Maintenance
Why the Operational Concept mission scenario are important to RM&A
The different maintenance levels and maintenance types
Metrics used to measure maintainability
Reliability-Centered Maintenance (RCM) is and its relationship to Condition-Based Maintenance (CBM)
Finding an optimal balance between reliability, maintainability and product lifecycle cost
The Potential-to-Failure (P-F) Concept
The types of availability: Operational Availability (Ao), Inherent Availability (Ai), and Achieved Availability (Aa), and how to calculate each
The relationship between Availability to Reliability and Maintainability

Who Should Attend

Product Development Managers & Executives
Project Managers
Systems Engineers
Development team members
Design Engineers
Hardware Engineers
Process Engineers
Maintenance Professionals
Logisticians
Reliability Newcomers

Target Audiences

Product Development Managers & Executives
Project Managers
Systems Engineers
Development team members
Design Engineers
Hardware Engineers
Process Engineers
Maintenance Professionals
Logisticians
Reliability Newcomers

This course focuses on actions project Managers and Systems Engineers can take to initiate or improve the performance of their systems.

This course covers both ‘design for RM&A’ and ‘RM&A validation’ activities to provide the viewpoints of the system developer and the end user.

This course also covers the essential mathematical calculations that are essential to initiating, specifying and testing RM&A requirements, to and includes the application of how you can use RM&A calculations to estimate and improve your overall system’s availability.

In the Reliability Module, we will cover many core principles related to identifying, estimating, calculating and verifying reliability related requirements and models. Topics include common definitions, lifecycle analysis, reliability myths, failures, Failure Modes and Effects Analysis (FMEA), failure rates, life data distributions, probability density functions; exponential, logarithmic, gaussian, and Weibull distributions; reliability estimates, the hazard function, MTBF, MTTF, the “bathtub curve” and its 3 regions: DFR, SFR and IFR. You’ll learn about extending a product’s life, reliability calculations using reliability networks, stress and strain analysis, fault trees and FMECA reporting.

In the Maintainability Module, topics include definitions, maintenance levels, FRACAS, Uptime (UT), Downtime (DT), MTTR, preventive and corrective maintenance, maintenance frequency, MTBM, Level Of Repair Analysis (LORA), Reliability Centered Maintenance (RCM) and Condition-Based Maintenance (CBM), Potential to Functional failures (PF), Maintainability cost, prediction, and allocation, and trade-offs between reliability and maintainability.

In the Availability Module, we use what we learned about R&M and apply it to availability. We also cover the three primary types of availability: Achieved Availability (Aa), Inherent Availability (Ai) and Operational Availability (Ao).

The course concludes by consolidating RM&A topics into a holistic picture. Topics include RM&A challenges, RM&A starting values, testing for reliability & maintainability, RM&A sequential testing and qualification and product life testing.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Introduction to RM&A

Chapter 2: Reliability

Lecture 1: Reliability Definition

Lecture 2: Reliability in the Life Cycle

Lecture 3: Reliability Myths

Lecture 4: Reliability In Context

Lecture 5: Relationship Between Reliability & Maintainability

Lecture 6: What is a Failure?

Lecture 7: Explicit Reliability

Lecture 8: Service Lives & Useful Lives

Lecture 9: System Life Reliability

Lecture 10: Failure Rates (λ)

Lecture 11: Reliability Data Distributions

Lecture 12: The Probability Density Function (PDF)

Lecture 13: Exponential Distributions

Lecture 14: Component Repair vs Replacement

Lecture 15: The Gaussian Distribution

Lecture 16: The Logarithmic-Normal Distribution

Lecture 17: The Weibull Distribution

Lecture 18: The Cumulative Distribution Function (CDF)

Lecture 19: The Reliability Function (R)

Lecture 20: Reliability Estimates

Lecture 21: The Failure Rate Function

Lecture 22: The Hazard Function

Lecture 23: Introduction to MTBF & MTTF

Lecture 24: Mean Time Between Failures (MTBF)

Lecture 25: Mean Time To Failure (MTTF)

Lecture 26: Calculating MTBF and MTTF

Lecture 27: MTTF & MTBF Precautions

Lecture 28: The Median Life Function

Lecture 29: The Mode Life Function

Lecture 30: The Decreasing Failures Region (DFR)

Lecture 31: The Stabilized Failures Region (SFR)

Lecture 32: The Increasing Failures Region (IFR)

Lecture 33: Service Life Extension Programs (SLEP)

Lecture 34: Storage and Shelf Life Factors

Lecture 35: Misapplication of the Hazard Rate

Lecture 36: Introduction to Reliability Networks

Lecture 37: Series Networks

Lecture 38: Parallel Networks

Lecture 39: Series / Parallel Network Combinations

Lecture 40: Reliability Allocations

Lecture 41: Reliability Requirements

Lecture 42: Stress & Strain Analysis

Lecture 43: Failure Mode Effects Analysis (FMEA)

Lecture 44: The FMEA & FMECA Process

Lecture 45: Fault Trees

Lecture 46: FMECA Reporting

Chapter 3: Maintainability

Lecture 1: Introduction to Maintainability

Lecture 2: Maintainability in the Life Cycle

Lecture 3: System Maintenance

Lecture 4: Maintenance Levels & FRACAS

Lecture 5: Uptime (UT) & Downtime (DT)

Lecture 6: Mean Uptime

Lecture 7: Mean Downtime, MLDT & MADT

Lecture 8: Uptime / Downtime Ratio

Lecture 9: Preventive Maintenance and PMT

Lecture 10: Corrective Maintenance

Lecture 11: Maintenance Labor Hours

Lecture 12: Maintenance Frequency

Lecture 13: Mean Time To Repair (MTTR) and Restore to Service (MTRS)

Lecture 14: Mean Time Between Maintenance (MTBM)

Lecture 15: Maintainability Analysis

Lecture 16: Level of Readiness Analysis (LORA)

Lecture 17: Reliability Centered Maintenance (RCM)

Lecture 18: Condition Based Maintenance (CBM)

Lecture 19: Potential to Functional (PF) Failure Ratio

Lecture 20: Maintenance Cost Factors

Lecture 21: Maintainability Predictions

Lecture 22: Maintainability Requirements

Lecture 23: Maintainability Allocation

Lecture 24: Maintainability Analysis

Chapter 4: Availability

Lecture 1: Availability Introduction

Lecture 2: Inherent Availability

Lecture 3: Achieved Availability

Lecture 4: Operational Availability

Lecture 5: Availability Conclusion

Chapter 5: RM&A Considerations

Lecture 1: Reliability, Maintainability and Availability Challenges

Lecture 2: Reliability Starting Values

Lecture 3: RM&A in Design Reviews

Lecture 4: Testing for Reliability

Lecture 5: Testing for Maintainability

Lecture 6: Reliability Sequential Testing

Lecture 7: Reliability in Qualification and Life Testing

Chapter 6: Course Closeout

Lecture 1: Course Closeout

Instructors

Christopher Olson
Systems Engineer, Adj Professor, CSEP, PMP

Rating Distribution

1 stars: 3 votes
2 stars: 7 votes
3 stars: 55 votes
4 stars: 176 votes
5 stars: 288 votes

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