Objective:

To introduce the concept of Reliability Engineering and impart sufficient knowledge to the course attendees to allow them to oversee Reliability Engineering contracts and to apply the techniques used within ARM plans to simple systems.

Course Content: 

General Introduction

Probability Theory, Boolean Algebra & Component Reliability Theory

Reliability Block Diagrams 

HAZOP 

Failure Modes and Effects Analysis 

Reliability Centred Maintenance

Rapid Ranking 

Fault Tree Analysis 

Event Tree Analysis 

Monte Carlo Simulation

Engineering applications and examples provided throughout

Objective:

To provide a general understanding of the HAZOP methodology and impart sufficient knowledge to the course attendees to allow them to participate in a HAZOP study of a system with which they are familiar.

Course Content: 

Introduction to the HAZOP Methodology

Role of HAZOP in the Project Life Cycle

The HAZOP Technique

Preparation for the HAZOP Meeting

HAZOP 1 (Preliminary Hazard Analysis)

Identification of Nodes or Lines

HAZOP 2 (Full HAZOP Study)

Follow-Up Actions

Report and Documentation

Engineering applications and examples provided throughout

Objective:

To provide an overview of different techniques that can be used for Hazard Identification, including a brief outline of the approach, suitable applications, preparatory tasks, resource requirements, benefits and limitations.

Course Content: 

Objective:

To introduce the FMEA methodology and impart sufficient knowledge to the course attendees to allow them to oversee an FMEA carried out by a third party and to discuss the results intelligently.

Course Content: 

Introduction

FMEA Methodology

Breakdown of System into Sub-Systems 

Functional FMEA 

Component FMEA 

Engineering applications and examples provided throughout

Objective:

To provide a general understanding of the FMECA methodology and impart sufficient knowledge to the course attendees to allow them to carry out their own FMECA of a system with which they are familiar.

Course Content: 

Introduction

Reliability Block Diagrams 

FMEA Methodology

Breakdown of System into Sub-Systems 

Functional FMEA 

Component FMEA 

Criticality Analysis 

Report & Documentation

Engineering applications and examples provided throughout

Objective:

To impart sufficient knowledge to course attendees to allow them to construct their own fault trees and event trees for process systems and to quantify the unavailability or unreliability of those systems.

Course Content: 

Introduction to Fault Tree Analysis

Fault Tree Symbols and Methodology

Fault Tree Construction 

Fault Tree Reduction 

Fault Tree Quantification 

Dependent Failures 

Event Tree Analysis

FTA Software Demonstration

Engineering applications and examples provided throughout

Objective:

To introduce the concept of ARM analysis and to impart sufficient knowledge to the course attendees to allow them to apply the techniques used within ARM to simple systems.

Course Content:  

Introduction to ARM Analysis – Philosophy and Terminology

Overview of Reliability Block Diagrams 

Introduction to Fault Tree Analysis 

Overview of Failure Modes and Effects Analysis 

Maintainability Issues

The ARM Plan

Case Study applying all of the techniques introduced within the course

Engineering applications and examples provided throughout

Objective:

To provide course attendees with an understanding of the assumptions underlying Markov analysis. At the end of the course the attendees will be able to carry out Markov analysis on simple systems.

Course Content: 

The memoriless nature of Markov processes

Examples of Markov processes

Modelling the breakdown and repair of engineering components as Markov processes

Discrete Markov processes (Markov chains): the state-space diagram as defined by the states of the system and the transition probabilities between them

Deriving the solution of the discrete Markov process

Continuous Markov processes and their solution

Engineering applications and examples provided throughout

Objective:

To provide course attendees with an understanding of discrete and continuous probability distributions, and examples of how they arise in practice within engineering systems. At the end of the course the attendees will recognise those situations in which random variability occurs, and will be able to fit the most appropriate distribution to any given data set.

Course Content: 

Probability and what it means

“Events” and Boolean algebra

Probability arithmetic

Probability distributions and how they are defined

The mean and standard deviation

Discrete distributions: Geometric, Binomial and Poisson

Continuous distributions: Normal, Exponential and Weibull

The Chi-Square distribution and goodness-of-fit test

Engineering applications and examples provided throughout

Objective:

To provide an appreciation of how statistical analysis can assist the engineer, covering the most useful techniques in practice, and engineering examples of their application. At the end of the course the attendees will understand the type of question that statistical analysis addresses, comprehend statistical statements, recognise those situations in which statistical analysis may be applied, and be able to identify the most appropriate type of statistical analysis in a given situation.

Course Content: 

Statistical analysis, what it means, and examples of its engineering applications

The type of question statistical analysis addresses, and the range of techniques available

The expectation operator

The concept of unbiasedness

Estimating the mean and variance of a distribution