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Udemy – Reliability Engineering Statistics 2021-11

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Lognormal Distribution, Pt 1

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Course Content

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Section 1: Introduction59 videos

Reliability Definitions, Pt 1

21m

Introduction to Mark

24m

Motivations for Achieving Certification

38m

Introduction to the Course

1h 26m

Reliability Definitions, Pt 2

50m

Reliability Definitions, Pt 3

58m

Probability

47m

Permutations and Combinations

27m

Venn Diagrams

22m

Probability Distributions in Reliability Engineering

25m

Central Limit Theorem

51m

Binomial Distribution, Pt 1

29m

Binomial Distribution, Pt 2

30m

Binomial Distribution in Excel, Pt 3

Factorials and the Binomial Distribution

51m

More Reliability Definitions

30m

Poisson Distribution, Pt 1

29m

Poisson Distribution, Pt 3

Poisson Distribution, Pt 2

30m

Geometric Distribution, Pt 1

36m

Geometric Distribution, Pt 2

24m

Geometric Distribution in Excel, Pt 3

Reliability Block Diagrams, Pt 1

Reliability Block Diagrams, Pt 2

14m

r out of n Configurations

11m

Hypergeometric Distribution, Pt 2

26m

Hypergeometric Distribution, Pt 1

43m

Exponential Distribution, Pt 2

36m

Exponential Distribution, Pt 1

40m

Exponential Distribution in Excel, Pt 3

Normal Distribution, Pt 3

Normal Distribution, Pt 1

46m

Normal Distribution, Pt 2

28m

Z Score and the Standard Normal Distribution

27m

Modality

Skew

14m

Kurtosis

25m

Interpreting Control Charts, Pt 1

12m

Interpreting Control Charts, Pt 2

17m

Basics of Control Charting

1h 11m

Cpk in Excel

37m

Capability Analysis

48m

Ppk in Excel

17m

Reliability Engineering Resources

46m

Lognormal Distribution, Pt 2

11m

Lognormal Distribution, Pt 1

39mNow Playing

Drawback of the Lognormal Distribution

38m

Weibull Distribution in Excel, Pt 3

Weibull Distribution, Pt 1

44m

Weibull Distribution, Pt 2

20m

Confidence Intervals, Pt 1

43m

Statistical Confidence Program, Pt 4

20m

Confidence Intervals, Pt 3

19m

Confidence Intervals, Pt 2

48m

Chi Square Distribution, Pt 1

33m

Chi Square Distribution in Excel, Pt 3

19m

Chi Square Distribution, Pt 2

55m

Conclusion to the Course

10m

Bonus Lecture

43m

About this Lecture

Section: Introduction • Size: 85.23 MB • Duration: 39m

Course Summary

Reliability Engineering Statistics is a basic probability and statistics training course for understanding reliability engineering published by Udemy Online Academy. Reliability engineering is a sub-discipline of systems engineering that focuses on ensuring that products, systems and components operate without failure under specified conditions for a specified period of time. The main objective is to minimize the probability of failure and ensure consistent performance, safety and maintenance. This field is used in various industries such as aerospace, automotive, production and information technology. Reliability engineering is essential for designing, developing, and maintaining systems that operate reliably and efficiently.By applying systematic methods and best practices, reliability engineers can identify potential failure modes, implement preventive measures, and optimize system performance. This field plays an important role in increasing the safety, quality and lifespan of products and systems in various industries. In this training course, you will get to know the basic and basic concepts of reliability engineering and you will be prepared to learn more advanced topics about it. In this training course, you will be introduced to topics such as continuous distributions, working with distributions in Microsoft Excel, permutations, combinations, Venn diagrams, construction and interpretation of control charts, process capability analysis and block evaluation of reliability diagrams. .

Course Content

0 / 59 completed

Section 1: Introduction59 videos

Reliability Definitions, Pt 1

21m

Introduction to Mark

24m

Motivations for Achieving Certification

38m

Introduction to the Course

1h 26m

Reliability Definitions, Pt 2

50m

Reliability Definitions, Pt 3

58m

Probability

47m

Permutations and Combinations

27m

Venn Diagrams

22m

Probability Distributions in Reliability Engineering

25m

Central Limit Theorem

51m

Binomial Distribution, Pt 1

29m

Binomial Distribution, Pt 2

30m

Binomial Distribution in Excel, Pt 3

Factorials and the Binomial Distribution

51m

More Reliability Definitions

30m

Poisson Distribution, Pt 1

29m

Poisson Distribution, Pt 3

Poisson Distribution, Pt 2

30m

Geometric Distribution, Pt 1

36m

Geometric Distribution, Pt 2

24m

Geometric Distribution in Excel, Pt 3

Reliability Block Diagrams, Pt 1

Reliability Block Diagrams, Pt 2

14m

r out of n Configurations

11m

Hypergeometric Distribution, Pt 2

26m

Hypergeometric Distribution, Pt 1

43m

Exponential Distribution, Pt 2

36m

Exponential Distribution, Pt 1

40m

Exponential Distribution in Excel, Pt 3

Normal Distribution, Pt 3

Normal Distribution, Pt 1

46m

Normal Distribution, Pt 2

28m

Z Score and the Standard Normal Distribution

27m

Modality

Skew

14m

Kurtosis

25m

Interpreting Control Charts, Pt 1

12m

Interpreting Control Charts, Pt 2

17m

Basics of Control Charting

1h 11m

Cpk in Excel

37m

Capability Analysis

48m

Ppk in Excel

17m

Reliability Engineering Resources

46m

Lognormal Distribution, Pt 2

11m

Lognormal Distribution, Pt 1

39mNow Playing

Drawback of the Lognormal Distribution

38m

Weibull Distribution in Excel, Pt 3

Weibull Distribution, Pt 1

44m

Weibull Distribution, Pt 2

20m

Confidence Intervals, Pt 1

43m

Statistical Confidence Program, Pt 4

20m

Confidence Intervals, Pt 3

19m

Confidence Intervals, Pt 2

48m

Chi Square Distribution, Pt 1

33m

Chi Square Distribution in Excel, Pt 3

19m

Chi Square Distribution, Pt 2

55m

Conclusion to the Course

10m

Bonus Lecture

43m