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

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Presentation transcript:

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. Applications 1. NPP REACTOR COOLANT PUMP 2. GAS TURBINE

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)

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

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

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

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)

APPLICATIONS CONNECTIVITY * RM&D: Remote Monitoring & Diagnostic

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

EXAMPLE 2. Gas Turbine

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