Course Title:Reliability professional training
Course duration:3天
Course Introduction:
In recent years, as market competition has become increasingly fierce and customers have become increasingly demanding on quality, reliability has received more and more attention in all walks of life. After years of dedicated R&D investment, JMP has a complete set of software platforms that comprehensively cover the software needs of reliability data analysis and reliability engineering. These software platforms not only support proven and traditional methods, but also represent the current cutting-edge of research and development. This course will teach how to analyze product life and accelerate experiments, and guide students to operate JMP software to quickly transform knowledge into practice.
Course training purpose:
This course will integrate the theory of reliability analysis and the specific operational use of software. The expected goal of the course is to enable students to have a comprehensive and in-depth understanding of the theory and software operation of the most important statistical tools for reliability data analysis, and to be able to apply the knowledge they have learned to practical work as soon as possible and to understand important issues. Scientific and quantitative answers or suggestions are given to management and decision-making problems.
Course participants:
This course is mainly intended for professionals and non-professionals whose work involves product reliability, including students, teachers, engineers, department managers and industry consultants. Students from different backgrounds can get what they need from the course. This course requires students to have experience in using JMP software, be familiar with the concepts of data tables and data analysis platforms in JMP software, and be familiar with the relationship between columns and statistical variables in data tables. In terms of statistical knowledge, you need to be familiar with at least the mathematical statistical concepts of variable distribution and linear regression.
Course content outline:
first day
- Reliability Analysis Basics
- Quantitative standards for reliability
- Lifetime data type and ending type
- Non-parametric models and estimation
- Parametric models and maximum likelihood estimation of parameters
- Parametric model evaluation and selection
- Analysis of competitive failure mechanism
- Model establishment and use
- Bayesian-based lifespan data analysis
- Discussion of difficult data
- Reliability inspection plan and verification
- Application scenarios, statistical principles and formulation of reliability inspection plans
- Application scenarios, statistical principles and formulation of reliability verification
- 质Preservation Reserve Forecast
- Purpose of Warranty Reserve Forecasting and Types of Field Data
- Modeling and selection of quality assurance field data
- Types, calculation, evaluation and selection of warranty reserve forecast confidence intervals
the next day
- Accelerated Life Test Data Analysis
- Test purpose and data type
- Single stress test data analysis
- Multi-stress test data analysis
- Variable stress test data analysis
- accelerated life test design
- Advantages and assumptions of accelerated testing
- Methods and effective models for accelerated life testing
- Experimental design case
- Fatigue model (JMP 18 new features)
- Purpose of Fatigue Data Analysis
- Introduction to fatigue models
- Fatigue data analysis
- Recession data analysis
- Repeated Measures Decline Data Analysis
- Bayesian-Based Repeated Measures Decline Data Analysis
- Destruction measurement of decay data analysis
The third day
- System reliability analysis (reliability block diagram)
- Purpose of using reliability block diagram
- Components of a Reliability Block Diagram
- Reliability Block Diagram Component Types and Settings
- Output and application of reliability block diagram
- Reliability assignment based on reliability block diagram
- Repairable System Analysis (Repairable System Simulation)
- Repairable system simulation purpose
- Introduction to repairable system simulation modules, operations, and events
- Interpretation of repairable system simulation results
- Decision making based on repairable system simulation
course features:
- Link theory with practice, with a large number of on-site cases to assist explanations
- The content is extensive, covering methods such as life test design and analysis, quality assurance field data analysis, accelerated life test design and analysis, durability data analysis and system reliability analysis.
- Enjoy free trial of JMP Pro genuine software to improve training efficiency
