condition-monitoring introduction about re

Condition monitoring

1. CONDITION MONITORING

2. STATE OF THE ART IN
NUCLEAR & NO
NUCLEAR INDUSTRY

3. INDEX
1.Predictive Maintenance & Supervision Stages
2.Condition Monitoring / Condition Based Maintenance
3.Computer Maintenance Management System
(CMMS)
4.Software techniques
5.Applications connectivity
6.Applications
1. NPP REACTOR COOLANT PUMP
2. GAS TURBINE

4. SUPERVISION STAGES
DIAGNOSTICS
CONTROL
FAILURE DETECTION
RECONFIGURATION
PROCESS
“Inteligencia artificial para la detección y el diagnóstico de fallos”
Joaquín Melémdez / Joan Colomer (Universitat de Girona)

5. CONDITION MONITORING SYSTEM (CMS)
CONDITION BASED MAINTENANCE (CBM)
Impressions
(human senses) Vibration monitors
Chemical
analysis
I&C channels
Thermograph
Maintenance
operators
DECISIONS
MAINTENANCE MANAGEMENT
Electrical
consumption
Others
Cumulated
Experience
CONDITION MONITORING SYSTEM
CONDITION BASED MAINTENANCE

6. COMPUTER MAINTENANCE
MANAGEMENT SYSTEM (CMMS)
CONDITION MONITORING
DECISIONS
MAINTENANCE MANAGEMENT
- Trends
- “Analysis”
- Alerts
- Store data
- Data management
- Experience database
Cumulated
Experience
CMMSCMMS

7. SOFTWARE TECHNIQUES
Data Acquisition, Store & Management
- Filtering
- Statistics
- Transforms (FFT, SFT…)
Signals Generation
- Threshold
- Trend evolution
- ...Data Analysis
- Neural networks
- Fuzzy logic
- Signed Direct Graph
- Causal analysis
- Case Based Reasoning (CBR)
- Record
- Reload
- Reuse
- Revision
- ...
TECHNIQUES
INTEGRATION
APPLICATIONS
CONNECTIVITY

8. TECHNIQUES INTEGRATION FOR
FAILURE DETECTION & DIAGNOSTICS
...
Physical Process
- Continuous
- Discrete
(event driven)
- Hybrid
User Interfaces
Decision support
Alarm Generation
and management
Monitoring
Uncertainty
treatment
Knowledge
Processing
facilities
Knowledge
Representation
facilities
Modelling
Facilities
Abstraction Tools
Numeric
Processing
DB management
Supervisory
System
Numeric
variables
Qualitative
variables
Models
Data Bases
Knowledge
Bases
Alarm
generation
Fault
detection
Diagnosis
Reconfiguration
Information
ON LINE:
- Data Acquisition System
(Instrumentation,
Measures, Controllers)
OFF LINE:
- Modelling (process
representation, relations,...)
- Experience (expertise,
rules, ...)
- Learning
- History
Actions
“Inteligencia artificial para la detección y el diagnóstico de fallos”
Joaquín Melémdez / Joan Colomer (Universitat de Girona)

9. APPLICATIONS
CONNECTIVITY
* RM&D: Remote Monitoring & Diagnostic

10. EXAMPLE 1.
NPP Reactor Coolant Pump
Controlled Bleed-off Flow
Controlled Bleed-off
Pressure
Controlled Bleed-of
Temperature
Seal Cooler 1 Inlet Pressure
Seal Cooler 1 Inlet
Temperature
Seal Cooler 2 Inlet Pressure
Seal Cooler 2 Inlet
Temperature
RCP Discharge Pressure
HP Cooler Inlet Temperature
HP Cooler Outlet
Temperature
RCP Upper Thrust Bearing
Temperature

11. EXAMPLE 2.
Gas Turbine

12. END
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