Turbine Condition Monitoring and Planning Course

Name: Turbine Condition Monitoring and Maintenance Planning Training Course
Availability: InStock

Turn turbine vibration, oil, thermal, performance, and inspection evidence into prioritized maintenance and outage plans.

Turbine Condition Monitoring and Planning Course

At a glance

Duration: 1 Week
Format: Classroom
Cities: Doha, Trabzon, Johannesburg, Langkawi, Montreux, Manama and more
Next session: 8 – 12 November 2026, Doha
Average fee: 7,500 €

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Turbine Condition Monitoring and Maintenance Planning Training Course

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Overview

Turbine Condition Monitoring and Maintenance Planning Training Course is a one-week advanced course for turbine maintenance, reliability, vibration, and planning teams who leave with a Turbine Condition-to-Maintenance Decision Pack. The course connects turbine vibration severity, rotor dynamic evidence, bearing condition, lube-oil analysis, thermal inspection, performance trend analysis, failure-mode diagnosis, condition-based work scope, outage planning, and return-to-service evidence. Agile Leaders Training Center delivers this course on turbine condition monitoring and maintenance planning.

Who Should Attend

Teams responsible for gas and steam turbine condition monitoring and diagnostic evidence
Functions responsible for vibration acquisition, analysis, alarms, trends, and machinery protection
Teams responsible for turbine maintenance strategy, work scope, outage planning, and execution readiness
Functions responsible for lubrication evidence, thermal inspection, performance monitoring, and reliability
Teams responsible for inspection findings, failure risk, corrective actions, and return-to-service decisions

The course assumes participants already work with turbine operating data, vibration measurements, inspection records, or maintenance plans and leaves out introductory turbine thermodynamics, sensor installation authorization, and live intrusive work.

Departments and Industries

The course supports turbine condition and maintenance decisions across power and process operations.

Mechanical maintenance, reliability, condition monitoring, and outage planning
Power generation, utilities, industrial energy, and cogeneration operations
Oil and gas, petrochemical, refining, mining, and metals facilities
Marine propulsion, pipeline compression, manufacturing, and process industries
Engineering services, technical assurance, inspection, and asset management

Learning Objectives

By the end of this course, participants will be able to:

Build a turbine condition-monitoring evidence plan.
Analyze vibration, rotor, bearing, oil, thermal, and performance evidence.
Diagnose turbine failure modes from correlated symptoms.
Evaluate risk, confidence, urgency, and operating boundaries.
Prioritize condition-based work scope and outage actions.
Build a return-to-service decision pack.

Course Agenda

Day 1: Establish Turbine Evidence

Turbine Train, Rotor, Bearing, Coupling, Seal, Casing, and Support-System Map
Operating Mode, Load, Speed, Temperature, Pressure, and Baseline Condition Register
Sensor Location, Measurement Direction, Sampling, Quality, and Data-Lineage Plan
ISO 20816-4 Scope, Applicability, Exclusion, and Vibration Evaluation Map
Condition Indicator, Alert, Alarm, Trip, Trend, and Escalation Matrix

Day 2: Interpret Vibration Behavior

Shaft Relative, Casing Absolute, Radial, Axial, and Thrust Vibration Evidence Sheet
Time Waveform, Spectrum, Phase, Orbit, Centerline, and Waterfall Interpretation Method
Run-Up, Coast-Down, Critical-Speed, Load-Change, and Transient Response Plot
Unbalance, Misalignment, Rub, Looseness, Oil Whirl, and Oil Whip Symptom Matrix
Bearing Clearance, Support Stiffness, Thermal Growth, Coupling, and Rotor-Dynamic Fault Tree

Day 3: Correlate Condition Sources

Lube-Oil Particle, Wear-Metal, Viscosity, Moisture, and Contamination Evidence Table
Thermography, Bearing-Metal Temperature, Exhaust Spread, and Hot-Spot Review
Performance Trend, Heat Rate, Pressure Ratio, Flow, Efficiency, and Degradation Chart
Alarm Sequence, Event Log, Startup Curve, Shutdown Curve, and Operating-Context Timeline
Borescope, Clearance, Seal, Blade, Combustion, and Inspection-Finding Correlation Matrix

Day 4: Plan Maintenance Actions

Failure Mode, Consequence, Condition Indicator, Confidence, and Risk-Priority Register
Continue, Monitor, Load-Restrict, Inspect, Repair, or Stop Decision Tree
Condition-Based Work Scope, Task, Skill, Tool, Material, Access, and Hold-Point Plan
Outage Window, Opportunity Work, Dependency, Critical Path, and Contingency Map
Post-Maintenance Test, Acceptance Criterion, Baseline Reset, and Return-to-Service Checklist

Day 5: Practice Turbine Decisions

Exercise: Build the Turbine Train, Baseline, Sensor, and Evidence Map
Exercise: Diagnose Vibration, Rotor-Dynamic, Bearing, and Support Symptoms
Exercise: Correlate Oil, Thermal, Performance, Alarm, and Inspection Evidence
Exercise: Prioritize Risk, Work Scope, Outage Timing, and Acceptance Actions
Capstone Exercise: Build the Turbine Condition-to-Maintenance Decision Pack

Practical Exercises

The course uses suggested activities to connect turbine evidence with controlled maintenance plans.

Suggested activity: compare baselines, spectra, waveforms, phases, orbits, trends, and transient plots.
Suggested activity: correlate vibration symptoms with oil, thermal, performance, alarm, and inspection evidence.
Suggested activity: build a risk-based work scope with tasks, resources, dependencies, hold points, and contingencies.
Suggested activity: define post-maintenance tests, acceptance evidence, baseline reset, and return-to-service controls.

FAQs

Who should attend turbine condition monitoring and maintenance planning training?

Turbine condition monitoring and maintenance planning training suits experienced maintenance, reliability, vibration, inspection, performance, and planning teams and assumes familiarity with turbine operating data, machinery measurements, or maintenance records.

How does turbine condition monitoring differ from general predictive maintenance training?

Turbine condition monitoring focuses on turbine trains, rotor dynamics, bearings, transients, performance, inspection findings, outage scope, and return-to-service evidence, while general predictive maintenance addresses a wider equipment population and technique selection.

How are turbine vibration findings converted into maintenance actions?

Turbine vibration findings become maintenance actions by confirming data quality and operating context, correlating symptoms across sources, identifying plausible failure modes, assessing risk and confidence, and defining a condition-based work scope.

What evidence supports turbine return-to-service decisions?

Turbine return-to-service decisions use completed work records, post-maintenance tests, acceptable vibration and performance behavior, resolved alarms, verified clearances and inspections, updated baselines, and authorized acceptance criteria.

Conclusion

Participants take back a Turbine Condition-to-Maintenance Decision Pack. The pack connects operating context, vibration, oil, thermal, performance, alarms, inspections, failure modes, risk, work scope, outage timing, and acceptance evidence. It changes separate condition signals into a traceable basis for maintenance planning and return-to-service decisions.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 1-20 of 58 events

Location	Dates	Duration	Mode	Price
Doha	Week 45, 2026 8 – 12 November 2026	1 Week	Onsite	€7,000
Trabzon	Week 45, 2026 8 – 12 November 2026	1 Week	Onsite	€8,000
Johannesburg	Week 46, 2026 15 – 19 November 2026	1 Week	Onsite	€6,000
Langkawi	Week 47, 2026 22 – 26 November 2026	1 Week	Onsite	€8,000
Montreux	Week 48, 2026 23 – 27 November 2026	1 Week	Onsite	€8,000
Manama	Week 48, 2026 29 November – 3 December 2026	1 Week	Onsite	€6,500
Berlin	Week 50, 2026 7 – 11 December 2026	1 Week	Onsite	€6,500
Sharm El-Sheikh	Week 51, 2026 14 – 18 December 2026	1 Week	Onsite	€5,200
Kuwait	Week 51, 2026 20 – 24 December 2026	1 Week	Onsite	€7,000
Tokyo	Week 52, 2026 21 – 25 December 2026	1 Week	Onsite	€12,000
New York	Week 01, 2027 4 – 8 January 2027	1 Week	Onsite	€16,000
San Diego	Week 03, 2027 18 – 22 January 2027	1 Week	Onsite	€16,000
Baku	Week 04, 2027 25 – 29 January 2027	1 Week	Onsite	€8,000
Abu Dhabi	Week 04, 2027 25 – 29 January 2027	1 Week	Onsite	€6,500
Geneva	Week 04, 2027 31 January – 4 February 2027	1 Week	Onsite	€8,000
Chicago	Week 05, 2027 7 – 11 February 2027	1 Week	Onsite	€16,000
Dubai	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€6,500
Cairo	Week 07, 2027 15 – 19 February 2027	1 Week	Onsite	€5,200
Amman	Week 07, 2027 21 – 25 February 2027	1 Week	Onsite	€6,000
Toronto	Week 07, 2027 21 – 25 February 2027	1 Week	Onsite	€16,000

Frequently asked questions

What does this course cover?

OverviewTurbine Condition Monitoring and Maintenance Planning Training Course is a one-week advanced course for turbine maintenance, reliability, vibration, and planning teams who leave with a Turbine Condition-to-Maintenance Decision Pack. The course connects turbine vibration severity, rotor dynamic evidence, bearing condition, lube-oil analysis, therma…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Turbine Condition Monitoring and Planning Course