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Outline

• Objectives
• GTDS System Scheme
• La Spezia Power Plant Characteristics
• GTDS System Approach and Analysis
• Conclusions

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Approach

• Identification of the rules that allow to
  characterize and diagnose
• Expert System recognises previously the potential
  fault

Expert knowledge
Historical data
Fault detection
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Maintenance approaches
Reactive Maintenance Interventions are triggered
by a fault or by an evident anomaly
Preventive Maintenance Identifies the critical
components of a plant and, through a planned
schedule, provides for part and component
substitutions independently from their condition
Predictive Maintenance Based on the knowledge of
machine conditions and, through experience, on
its residual life
Proactive Maintenance Evident aims to early
problem solving thank to detailed analysis and
preventive diagnosis
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Gas Turbine Diagnostic System

• Continuous Monitoring of 2000 analogical and
  digital variables per second
• Determination of transients
• Preventive fault determination (Knowledge Based
  Analysis) with several critical levels
• Fault Manager summary with multiple levels of
  diagnostics
• Comprehensive automated fault detection
• Extensive data archives and display

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Gas Turbine Diagnostic System
GTDS analyses and correlates more than 2000
analogical and digital variables from the
monitoring system
Turbine temperature
Exhaust temperature
Thermodynamic variables P, T
Vibration
Emissions
Auxiliary Systems
Gas Analysis
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Advanced Diagnostics with GTDS
Diagnostic architecture
Expert System
Basic Checkers
Critical Fault indications Summaries of
faults related to a specific sub system
Auto-calibration
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Statistical Characterization
Applicable statistical auto-calibration to every
type of machine
Acceptable performance range
Detection of Several operating zones
Historical data
Speed
Regime
Shutdown
Start-Up
t
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Adaptive Methods Neural Networks
Input 1
Input 2
Output
Input 3
Input n
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Enel Power Plants operating with GTDS
Since 2003 innovative monitoring and diagnostic
system installed over new Enel combined cycles
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La Spezia CCs main features
Gas Turbine
Model Mitsubishi 701FD equipped with DLN
combustor Performance ISO Base Rating
225 MW Heat Rate
9350kJ/KWh Exhaust Temperature
607 C Exhaust Gas Flow 580Kg/s
Turbine Inlet Temperature 1405 C at ISO
conditions without inlet and exhaust losses
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Case Studies Cross-flame anomaly
Analysis of main operating parameters
Active Power no change
Spread - Spikes (impulsive phenomena) (First
level Diagnostics)
CO emission - Spikes (impulsive phenomena) - Too
high (First level Diagnostics)
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GTDS diagnostic messages
No DCS alarm displayed
183249 18/01/2002 Possible crack or hole in
combustor basket or transition
piece Determined by 183249 18/01/2002
High emission level and spread low Accounts
for 183217 18/01/2002 Possible combustors
fault 183249 18/01/2002 CO emission high.
Limit 5.00 mg/m3 183312 18/01/2002 CO
emission - Spike detected
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Cross- flame damage
Discoverd during maintenance but already detected
by GTDS while operating
Cross-flame damage due to welding collapse
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Conclusions

• Detect the first symptoms of a developing
  problem.
• Capture transient/short events.
• Rapidly troubleshoot major incidents.
• Understand the condition of the gas turbine.
• Enables condition based maintenance
• Reduce costs and increase the availability of gas
  turbine