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CONDITION MONITORING

CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

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Page 1: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

CONDITION MONITORING

Page 2: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

STATE OF THE ART INNUCLEAR & NO

NUCLEAR INDUSTRY

Page 3: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

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. Applications1. NPP REACTOR COOLANT PUMP

2. GAS TURBINE

Page 4: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

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)

Page 5: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

CONDITION MONITORING SYSTEM (CMS)CONDITION BASED MAINTENANCE (CBM)

Impressions(human senses) Vibration monitors

Chemical analysis

I&C channels

Thermograph

Maintenanceoperators

DECISIONSMAINTENANCE MANAGEMENT

Electricalconsumption

Others

CumulatedExperience

CONDITION MONITORING SYSTEM

CONDITION BASED MAINTENANCE

Page 6: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

COMPUTER MAINTENANCE MANAGEMENT SYSTEM (CMMS)

CONDITION MONITORING

DECISIONSMAINTENANCE MANAGEMENT

- Trends- “Analysis”- Alerts

- Store data- Data management- Experience database

CumulatedExperience

CMMSCMMS

Page 7: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

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

- ...

TECHNIQUESINTEGRATION

APPLICATIONSCONNECTIVITY

Page 8: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

TECHNIQUES INTEGRATION FORFAILURE 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

Numeric variables Qualitative

variables

Qualitative variables

ModelsModels

Data Bases Data Bases

Knowledge Bases

Knowledge Bases

Alarm generation

Alarm generation

Faultdetection

Faultdetection

Diagnosis Diagnosis

Reconfiguration Reconfiguration

InformationON 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)

Page 9: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

APPLICATIONS CONNECTIVITY

* RM&D: Remote Monitoring & Diagnostic

Page 10: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

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

Page 11: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

EXAMPLE 2.Gas Turbine

Page 12: CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY

END

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