Reliability Engineering Training

Reliability Engineering Training

Course Delivery

This Course is available in the following format:

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Course Overview:

Reliability Engineering Training Course Description

Reliability engineering is the function of analyzing the expected or actual reliability of a product, process or service, and identifying actions to reduce failures or mitigate their effect. Engineers analyzing reliability typically carry out reliability predictions, FMEA or FMECA, design testing programs, monitor and analyze field failures, and suggest design or manufacturing changes. Reliability engineering can be done by reliability engineers, design engineers, quality engineers, or system engineers. The overall goal of reliability engineering is to make your product more reliable in order to reduce repairs, lower costs, and to maintain your company’s reputation. To best meet this goal, reliability engineering should be done at all levels of design and production, with all engineers involved.

Customize It:

• If you are familiar with some aspects of this Reliability Engineering Training course, we can omit or shorten their discussion.
• We can adjust the emphasis placed on the various topics or build the Reliability Engineering Training course around the mix of technologies of interest to you (including technologies other than those included in this outline).
• If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Reliability Engineering Training course in manner understandable to lay audiences.

Reliability Engineering Training – Related Courses:

Root Cause Analysis Training for Non-Engineers
Root Cause Failure Analysis and Experiment Design Training

Reliability Engineering Training – Objectives:

Upon completing this Reliability Engineering Training course, learners will be able to meet these objectives:

◾ New tools in reliability engineering principles
◾ How operations can improve reliability of their processes
◾ How to influence improvements in availability
◾ How someone can assist in reducing process failures
◾ How someone can calculate the cost of unreliability for making business decisions to attack problems of unreliability.
◾ Find out reliability tools helpful for providing supporting evidence during root cause analysis failure investigations
◾ Find reliability tools and techniques helpful for understanding failure data
◾ How to make business decisions, based on the failure data
◾ Justify making equipment more reliable

Reliability Engineering Training – Course Content:

Reliability Engineering Overview

◾Business aspects of reliability engineering principles
◾Improvements in processes, procedures, people
◾Ways to reduce the cost of unreliability
◾How to predict future failures as a selling point for improvement projects
◾New modeling techniques for predicting equipment reliability based
◾Life cycle cost decisions in justifying new equipment and new processes
◾What is reliability engineering?
◾Reliability Data Problems and Deficiencies
◾Why do I need to do reliability prediction?
◾What are the uses of reliability prediction?
◾Computer demonstration of probability plots
◾Demonstration Project Introduced
◾What are Reliability Predictions and MTBF?
◾What are MIL-HDBK-217 and Bellcore/Telcordia?
◾What is a Reliability Block Diagram or RBD?
◾What is a design FMEA?
◾What is a process FMEA?
◾What is a FMECA?
◾What is Maintainability analysis?
◾What is Life Cycle Cost analysis?
◾What is a Reliability Prediction?

Reliability Prediction

◾Predictions from Test or Field Data Analysis
◾Prediction Using the New System Reliability Assessment Method
◾Similar Item Prediction
◾Predicted to Operational Translation
◾Empirical Model Prediction Techniques
◾Physics-of-Failure Prediction
◾Software and System Reliability Prediction
◾Component Reliability Prediction

Software and System Reliability

◾Reliability Testing
◾Reliability Growth Monitoring
◾Computer demonstration of Crow
◾Reliability Management
◾Major Influence Factors on Device Reliability
◾Physics-of-Failure Prediction
◾Software Reliability Prediction
◾New System Reliability Assessment Modeling Approach
◾Reliability Prediction Methodologies
◾Predictions From Test or Field Data Analysis
◾Use of Existing Reliability Data
◾Demonstration Project Commitment

Reliability Models

◾Computer demonstration of Monte Carlo models
◾Management Systems for Reliability
◾Mechanical Components and Systems Reliability
◾Electronic System Reliability
◾Demonstration Project Preliminary Commitment
◾MIL-HDBK-217 (Electronics)
◾Telcordia/Bellcore/TR-332 (Electronics)
◾NSWC-94/L07 (Mechanical)
◾Failure Modes Effects and Criticality Analysis (FMECA)
◾Reliability Block Diagram (RBD)
◾Toolkits

Applying MIL-HDBK-217

◾MIL-HDBK-217 Reliability Concepts
◾ASIC Reliability Concepts
◾Infant Mortality
◾End-of-Life Effects
◾Defect-Driven Reliability
◾Reliability Modeling
◾MIL-217 blocks
◾Environment
◾Temperature
◾Voltage Stress
◾Current Stress
◾Power Stress
◾Connection Type
◾Quality Levels
◾Repair Mode
◾MTTR

Applying Telcordia TR-332

◾MIL-HDBK-217 Reliability Concepts
◾Blocks
◾Environnent
◾Ambient temperature
◾Repair Mode
◾MTTR
◾Part Types and Descriptions
◾SubCircuit SubHybrid
◾IC Part Types
◾Transistor
◾Diode
◾Optoelectronic
◾Resistor
◾Potentiometer
◾Capacitor
◾Inductive
◾RotatingDevice
◾Relay
◾Switch
◾Connector
◾Meter
◾QuartzCrystal
◾CrystalOscillator
◾Lamp
◾Fuse
◾MicrowaveDevice
◾DelayLines
◾Battery
◾Miscellaneous

Practical Scenarios and Method Data

◾Operational Burn-In
◾Burn-In Time
◾Burn-In Temp
◾Lab Text Data
◾Lab Test Time
◾Lab Test Temp
◾No of Failures in Lab Test
◾No of Lab Test
◾Lab Test Burn-In Time
◾Lab Test Burn-In Temp
◾Field Data
◾Filed Operational Time
◾Field Temperature Time
◾No Of Failures in the Filed
◾Tracked Failure Rate (fpmh)

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