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Homepage > training offer > Closed training > Weibull distribution – sustainability of a product assessment tool based on a representative sample
Weibull distribution – sustainability of a product assessment tool based on a representative sample

Weibull distribution – sustainability of a product assessment tool based on a representative sample

The “Reliability Analysis Using, Among Others, Weibull Statistics” training is a course for individuals who want to learn the practical application of reliability assessment methods in real production environments. You will become familiar with key reliability evaluation techniques and learn how to implement them and interpret the results. You will gain the skills to analyze statistical data, estimate reliable operating time, and apply selected methods in practice, enabling you to use this knowledge effectively in your daily work.

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Open training

Join a group of participants from different companies and discover industry best practices.

Currently no scheduled dates.

Do you have any questions or are you interested in this topic?

Contact us to discuss the possibility of delivering this topic as an open training.

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IN-COMPANY TRAINING

Order a training tailored to the needs of your organization.

1 day / 8 training hours
Stationary / On-line
The day may be established
Individual pricing
Request a quote

SKILLS THE PARTICIPANT WILL GAIN

  • Familiarity with key concepts required in reliability studies
  • Preparation and preliminary analysis of data for reliability assessment
  • Fitting distributions to data collected in the production process
  • Using Probability Plot, Survival Plot, and Hazard Function charts in data analysis
  • Estimating reliability and predicting failure rates over specified time periods or operating cycles
  • Making decisions on further steps based on the analysis

BENEFITS FOR COMPANIES

  • Optimization of maintenance costs through failure prediction and preventive planning
  • Increased production process efficiency through better understanding of equipment behavior
  • Improved product quality through identification and elimination of potential sources of failure
  • Enhanced company competitiveness through advanced data analysis and fact-based decision-making

wANT TO LEARN MORE ABOUT THIS TRAINING OR OUR OFFER?

Contact our consultant

TRAINING PROGRAM

For in-company training, the proposed program is a preliminary suggestion and can be freely adapted to the individual needs of the company.

The following program is indicative (the division into days is arbitrary) and the trainer adapts the course of the training to the specific characteristics of the group. Individual topics may be discussed at a different time or in a different form than indicated in the plan.

Module 1

FUNDAMENTALS OF RELIABILITY ANALYSIS

Content:

  • Reliability analysis – why statistics are necessary
  • What is reliability?
  • Basic reliability definitions (including MTBF, MTTF, R(t), component reliability, system reliability, reliability index)

Module 2

STATISTICS IN RELIABILITY ANALYSIS – INTRODUCTION

Content:

  • Parameters vs. estimators (statistics) in the analysis of probability distributions
  • Significance level, confidence level, prediction interval, tolerance interval – meaning and practical application
  • Probability distributions – overview (including Weibull, normal, and exponential distributions)
  • The bathtub curve (as well as the Weibull, de Moivre, and Makeham–Gompertz mortality laws) in reliability studies

Module 3

DATA ANALYSIS IN RELIABILITY STUDIES

Content:

  • Types of data: complete data, right-censored data, left-censored data, and interval-censored data
  • Fitting distributions to collected data (including testing goodness-of-fit to the Weibull distribution)
  • Preparing data for analysis – describing time to failure, number of failures, and failure-free operating time
  • Interpretation of Weibull distribution parameters: Shape and Scale
  • Interpretation of basic reliability plots: Probability Plot, Survival Plot, Hazard Function
  • Determining (predicting) failure rates at specified times or operating cycles
  • Estimating reliability using R(t)
  • Data analysis in the “Nevada” format

Module 4

PRACTICAL EXAMPLES OF RELIABILITY ANALYSIS

Content:

  • Building an input data file (describing operating time and censoring)
  • Identifying the distribution that best fits the collected data
  • Preliminary data analysis – making decisions about further steps
  • Statistical analysis of reliability results, including estimating the number of failures within a specified period (or number of operating cycles)

Module 5

METHODS AND TESTS SUPPORTING RELIABILITY ANALYSIS

Content:

  • FMEA analysis and its relationship to reliability studies
  • Fundamentals of Design of Experiments (DOE)
  • HASS, ESS, HALT, FMVT, MEOST, and QALT tests – overview of applications

ADDITIONAL INFORMATION

We ensure that a significant part of the training consists of exercises and hands-on workshops, as this helps participants better retain newly acquired knowledge.

During this training, practical activities include:

  • Analysis of the goodness-of-fit of probability distributions

  • Analysis of practical reliability charts

  • Estimation of failure rates over a specified operating time or number of cycles

After the training, each participant will receive a certificate confirming completion of the course.

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    Training Specialist – RONAL Polska Sp. z o.o.
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