Semiconductor Reliability Analysis Course



Introduction

With the development of the market economy and increasing competition, people do not only demand the products are cheap and good, but also importance to the reliability and safety of the products. For example, Japanese cars, household appliances and other products, although in terms of performance and price, are similar as ours, but they can occupy the US and international markets. The main reason is that Japan's product reliability is better than China. People advocate brand-name products, which is the best embodiment of pursuing high-reliability products. A product with good reliability can not only reduce the company's maintenance costs, but also quickly become a well-known brand, significantly enhance the company's image, enhance core competitiveness, increase the company's revenue, and survive and develop in the fierce competition. For the economic transformation and the gradual strengthening of China, the reliability issue must be highly valued for the government and enterprises. We must accelerate the popularization of reliability knowledge, so that engineers and technicians can deeply understand and skillfully apply reliability knowledge, and achieve rapid integration. Apply to the actual product, thus greatly improving the reliability level of our products.

Course Purpose

Every aspect of the product has reliability problems from design, manufacture to use. If statistical analysis, measures, and work are carried out at every stage, the impact of these factors will be minimized, and the reliability of the product will be obvious improved. Customers will be more satisfied. The role of learning and applying reliability technology to the enterprise is as follows:

1.           Conducive to improve product quality can produce more reliable products that customers are more satisfied with, thus increasing market share;

2.           Conducive to ensuring the reliability and maintainability of high-performance, high-precision, large-scale complex products;

3.           Conducive to the development and development of new products, to achieve lower life cycle costs, shorter development time, etc.;

4.           Improve product stability by improving product reliability;

5.           Reduce economic losses caused by product quality and reliability issues, and improve economic efficiency.

This course is a basic course in the design, development and analysis of reliability products. It is practical and provides a lot of real examples, enabling participants to master the basic principles and knowledge and share practical experience in a relaxed and active atmosphere. And skills, and increase the gains in communication. The course content mainly includes: basic concepts and key terms of reliability, common life distribution and identification, guarantee analysis for life data, reliability test plan, multiple failure modes, parameter methods for common life distribution analysis, and common life distribution analysis. Non-parametric method, reliability analysis of repairable system, basic theory of accelerated life test and its statistical analysis method, analysis and establishment of reliability model, reliability index and its internal relationship, selection and demonstration of reliability index, establishment of reliable Sexual model procedures, determine product definitions, block diagram analysis, fault tree (FTA), build reliability models, P-Diagram, reliability indicator demonstration, allocation and estimation, Six Sigma reliability design brief, reliability management profile, etc.

Theoretical research on reliability requires a lot of advanced statistical knowledge. For general application personnel, it is difficult to fully understand these statistical theories in a short period of time, but MINITAB software will explain that we specifically implement these analyses. There is no need to understand the advanced theory. The best way to learn reliability is to combine learning methods with practical problems. It is important to understand the concepts, learn to use software to calculate and analyze, and understand the meaning of calculations and analysis results.

Participants:

Failure analysis engineer, reliability engineer, quality engineer, process engineer, R&D engineer, automatic control engineer, power maintenance engineer, product test engineer, qualification engineer, engineering and quality manager, product manager and related management personnel.

Course Objectives:

l  Introduce the basic concepts and key terms of reliability and key terms to the students the basics of reliability.

l  A series of design, development, production, testing and management work to achieve product reliability requirements. And for the feedback information, propose an improvement suggestion.

l  Combining engineering practice and case study, we can make a difference, integrate and understand the essence of reliability work.

l  Use short time to quickly find defects in product reliability and propose improvements.

l  Improve the reliability of work efficiency, enhance the reliability of work, and achieve the goal of reducing the life cycle cost.

l  Reliability design and analysis with the statistical software MINITAB reliability module, making work efficient and fast.

Agenda

Time

Day 1

Day 2

Morning

9:00-12:00

(10:30-10:45

Break)

Reliability concept

Introduction to Reliability Engineering Origin and Use

Factors of affecting product reliability

The significance of learning and applying reliability

Reliability measure

 Reliability, cumulative failure probability, failure density, failure rate function, lifetime feature quantity, confidence interval

Censored life test

Life test, cut end life test, accelerated life test Censored data

Right censored type, worksheet structure

Ex:1 Product warranty period

Ex:2 Comparison of reliability between new and old automotive wires

Common life distribution and its identification
Common life distribution

Exponential distribution

Weibull distribution

Extreme value distribution

Normal distribution

Lognormal distribution

Ex:3 Warranty period of car launch line

Exercise to find the characteristic life of the exponential distribution of the parameter

Assurance analysis of life data

 Pre-process guarantee data

Guaranteed expectations
Ex:4 MOFET Leakage phenomenon

Ex:5 Car sales warranty period

Practice car new compressor guarantee claim analysis

Nonparametric method for analysis of common life distribution

 Nonparametric method for estimating reliability function

Nonparametric methods that compare two or more survival distributions

Nonparametric analysis method

Ex:12 Automobile cylinder head gasket leak

Exercise: Parameter distribution analysis

Exercise: Car TV warranty period

Repairable system reliability

 Repairable system analysis

Parameter growth curve

Nonparametric growth curve

Ex:13,14 U.S.S. Grampus maintenance without schedule
Ex:15 Fault Trend Analysis of Automobile Computer Control System

Exercise: U.S.S. Halfbeak  Maintenance without schedule

Exercise :Trend analysis of reliability of electronic scanners

Accelerated life test and its statistical analysis method

 Basic theory of accelerated life testing

 Accelerated life test implementation

Application of accelerated life test of two variables

Implementation of accelerated life test plan in MINITAB

High Accelerated Life Test (HALT), High Accelerated Stress Test (HAST), High Accelerated Stress Screening (HASS)

Accelerated life test example

Ex:16 CMOS RAM Leakage phenomenon

Ex:17 DIODE Failure lifecycle
Ex:18 Capacitor life

Exercise: Failure and regenerative life test of automotive air conditioning compressor blades

Exercise: Accelerated life test of energy-saving bulbs

12:00-13:00

Break

Afternoon

13:00-17:00

(14:45-15:00

Break)

Reliability test plan
 Inspection plan overview

Verification sampling plan

Estimated inspection plan

Ex:6,7 Cable stay cable

Ex:8,9 Thermostat redesign

Exercise :Assess the impact of shape parameters

Exercise :Thermostat redesign

Multiple failure modes

Understand multiple failure modes

Estimation of Multiple Failure Mode Analysis Examples by Parameter Distribution Analysis

Ex:10,11 Sewage pump failure

*Ex: Car power equipment reliability case details

*Ex: Detailed vehicle reliability case

Exercise: Sewage pump failure

Parameter method for common life distribution analysis

 Selection of parameter distribution

Common life distribution analysis

Analysis of parametric models

Exercise

Analysis and establishment of reliability model Reliability index and its internal relationship

Selection and demonstration of reliability indicators

Procedure for establishing a reliability model

Determine the definition of the product

Block diagram analysis

Fault Tree Analysis(FTA)

Ex:20 Pipeline system

Ex:21 Fax machine jam

Ex:22 FTA Case: Engine malfunction

For instance:

Establish a reliability model

P-Diagram

Demonstration, distribution and prediction of reliability indicators

Practice

Six Sigma Reliability Design Introduction

flow chart

Implementation steps

Introduction to reliability management

Reliability guarantee

Product development and reliability business