Name: Maintenance and Reliability Engineering
Price: 4500.00 EUR
Availability: InStock

Many plants still run maintenance on fixed calendar intervals inherited from the manufacturer or from a previous owner. Some tasks are too frequent and introduce defects; others miss the failure modes that actually stop production. Failure data sits in the maintenance system but is too poor to analyse, root cause analysis stops at the first plausible answer, and condition monitoring generates alarms that nobody acts on. Reliability then becomes a slogan rather than an engineering discipline.

This programme treats reliability as a chain of engineering decisions. It moves from understanding failure behaviour and the data needed to describe it, to selecting maintenance strategies through structured analysis, to monitoring condition and acting on it, to eliminating chronic failures, and finally to measuring and sustaining improvement across the asset base.

Built on recognised practice. The programme references EN 13306 maintenance terminology, the ISO 55000 asset management series, reliability-centred maintenance as described in IEC 60300-3-11 and SAE JA1011, FMEA and FMECA under IEC 60812, Weibull analysis under IEC 61649, ISO 14224 for reliability and maintenance data, ISO 17359 for condition monitoring and the body of knowledge published by the Society for Maintenance and Reliability Professionals (SMRP). They are used as working tools, not as theory.

Decisions this programme improves. Which assets deserve detailed reliability analysis; whether a failure mode calls for condition monitoring, time-based replacement, redesign or run-to-failure; how often to inspect; when a repeat failure justifies a formal root cause analysis; whether to repair, overhaul or replace; and which reliability measures management should review each month.

How it is delivered. Twenty hours across five sessions, built around one running case: a pumping and compression system with a history of repeat failures. Participants rank its assets by criticality, carry out an FMEA, fit failure data to a Weibull distribution, select tasks and intervals, investigate a chronic failure and present an improvement plan. Exercises use spreadsheet models that participants can reuse.

In-house option. For organisations, the programme can be tailored to your own asset register, failure history and maintenance system, and delivered to maintenance, reliability and operations teams together so that improvement actions are agreed across functions.

Who Should Attend

Reliability and maintenance engineers: mechanical, electrical and instrument engineers responsible for asset performance

Maintenance managers and superintendents who set maintenance strategy and budgets

Condition monitoring and inspection specialists moving into wider reliability roles

Asset integrity and asset management staff in oil and gas, utilities, power, water and manufacturing

Operations and production engineers who share responsibility for plant availability

Objectives

Explain failure patterns, the P-F interval and the difference between age-related and random failure

Rank assets by criticality using consequence and likelihood, and focus analysis where it matters

Carry out an FMEA or FMECA on a system and identify its dominant failure modes

Calculate and interpret MTBF, MTTR, availability and reliability for a system

Fit failure data to a Weibull distribution and use the result to set a replacement or inspection strategy

Select maintenance tasks and intervals using reliability-centred maintenance logic

Choose suitable condition monitoring techniques and set alarm limits that trigger action

Lead a structured root cause analysis and close out corrective actions

Compare repair, overhaul and replacement options using life cycle cost

Build a reliability improvement plan with measures that show results to management

Course Outline

How Assets Fail: Failure Behaviour, Criticality and Data

Maintenance and reliability terminology: failure, fault, failure mode, failure mechanism
Failure patterns and why age-based replacement often fails
The P-F interval and its use in setting inspection frequency
Asset criticality ranking: consequence categories and risk matrices
Failure data quality: failure codes, taxonomy and history in the maintenance system
Reliability and maintainability measures: MTBF, MTTR, availability and OEE

Choosing the Right Strategy: FMEA and Reliability-Centred Maintenance

Functions, functional failures and operating context
FMEA and FMECA: method, facilitation and common mistakes
RCM decision logic: condition-based, time-based, failure-finding and redesign tasks
Hidden failures and protective devices
Streamlined approaches and when full RCM is justified
Turning analysis results into a maintenance plan in the CMMS

Quantifying Reliability: Weibull, Life Cycle Cost and System Models

Weibull analysis: shape and scale parameters and what they reveal
Optimising replacement and inspection intervals
Reliability block diagrams, redundancy and system availability
Spare parts decisions linked to reliability and criticality
Life cycle costing and repair, overhaul or replace decisions
Uncertainty and sensitivity: presenting results honestly

Condition Monitoring and Predictive Maintenance

Selecting techniques by failure mode: vibration, thermography, oil analysis, ultrasound, motor testing
Setting baselines, alarm limits and response routines
Online monitoring, wireless sensors and data integration
Predictive analytics and machine learning: realistic uses and limits
Building a condition monitoring programme that produces work orders, not only reports

Eliminating Chronic Failures and Sustaining Improvement

Bad actor analysis and Pareto of losses
Root cause analysis methods: 5 Whys, cause and effect, logic trees
Precision maintenance: alignment, balancing, lubrication and installation standards
Designing out maintenance and feeding lessons back to engineering and procurement
Reliability KPIs, reviews and the role of the reliability engineer
Action plan: a reliability improvement programme for your site

Competencies

Failure behaviour and P-F interval analysis

Asset criticality ranking

FMEA and FMECA facilitation

Reliability-centred maintenance decision logic

Weibull analysis and interval optimisation

Condition monitoring programme design

Root cause analysis and bad actor elimination

Life cycle cost comparison of maintenance options

Reliability performance measurement and reporting

Dubai

Elite Academy can deliver its complete portfolio of professional training programs in Dubai. With a global business, aviation and services hub with excellent international accessibility, the destination suits both scheduled learning and tailored arrangements for organizations or individual professionals. As an Elite Academy training destination, Dubai provides access to our full portfolio rather than a city-specific set of specializations. The city is a global business, aviation and services hub with excellent international accessibility, creating a suitable environment for organizations developing their teams and for professionals attending independently. Upcoming scheduled courses are listed on this page, while any other Elite Academy program can also be requested for delivery in Dubai, subject to scheduling and delivery requirements. Explore the schedule or browse our training areas to find the right option.

Maintenance and Reliability Engineering