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CONDITION MONITORING

CONDITION MONITORING. STATE OF THE ART IN NUCLEAR & NO NUCLEAR INDUSTRY. INDEX. Predictive Maintenance & Supervision Stages Condition Monitoring / Condition Based Maintenance Computer Maintenance Management System (CMMS) Software techniques Applications connectivity Applications

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CONDITION MONITORING

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  1. CONDITION MONITORING

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

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

  4. SUPERVISION STAGES FAILURE DETECTION DIAGNOSTICS RECONFIGURATION CONTROL 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) CONDITION MONITORING SYSTEM Impressions (human senses) Vibration monitors Maintenance operators I&C channels Electrical consumption Chemical analysis Others Thermograph CONDITION BASED MAINTENANCE Cumulated Experience DECISIONS MAINTENANCE MANAGEMENT

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

  7. TECHNIQUES INTEGRATION APPLICATIONS CONNECTIVITY 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 • ...

  8. DB management Numeric Processing Abstraction Tools Modelling Facilities Knowledge Representation facilities Knowledge Processing facilities Uncertainty treatment Monitoring Alarm Generation and management Decision support Supervisory System User Interfaces Information ON LINE: - Data Acquisition System (Instrumentation, Measures, Controllers) OFF LINE: - Modelling (process representation, relations,...) - Experience (expertise, rules, ...) - Learning - History ... Physical Process Data Bases Numeric variables Qualitative variables Models - Continuous - Discrete (event driven) - Hybrid Knowledge Bases Alarm generation Actions Fault detection Diagnosis Reconfiguration TECHNIQUES INTEGRATION FORFAILURE DETECTION & DIAGNOSTICS “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 Thank you for attending the presentation

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