World Class Wind Turbine Maintenance Operational excellence dankzij Condition Based Maintenance Kamperland 27 Mei 2014 Twan Kohlen CEO Oliveira International Group
Data Informatie - Kennis
Doelstelling Ontwikkelen en uittesten integrale control room voor het optimaliseren van O&M (technisch, organisatorisch en economisch) Merkonafhankelijk, generiek meetsysteem, met een open, onafhankelijke architectuur Low cost 10% - 20% huidige CBM systemen met veel meer functionaliteit Geen analyzers maar smartphone s en tablets Onafhankelijk windturbine cluster dat klanten kan ontzorgen op het gebied van O&M Voorspelbaar maken van operationele performance, onderhoud, levensduur en opbrengsten Windturbines met bestaansrecht, los van subsidies
Eindresultaat in modelvorm Dashboard Monitoring Reports Alerts Analytical Workbench Predictive Modeling Business Rules & Processes Model Management Engineering Maintenance Intelligence SCADA data Maintenance Records Process & Asset Data (origin, options, etc.) Historian Data Error logs Reliability Information Reliabilit Store y Informati on Store Financial/Risk Data Operator Data & Complaints Inspection Records Technician/Engineer Data Condition Monitoring data
Data combineren in ėėn systeem 12 verschilllende systemen en 200+ data ingangen Klimaat data Windsnelheid, luchtdruk, relatieve vochtigheid, windrichting, temperatuur etc Proces data druk, temperatuur, vermogen, snelheid, belasting, bladhoekverstelling etc OEM data tekeningen, onderhoudsadviezen, logistieke voorraad, gebruiksadviezen, modificatie standaard, etc Onderhoud en storingen data aantal storingen, stilstand tijd, planning onderhoud, modificaties, MTBF etc Manuele (gedigitaliseerde) data gehoor, visuele inspectie, lekkage, scheuren, verkleuring, etc CBM data trillingen, ultrasound, infrarood, olie kwaliteit, resonanties, corrosie etc
Inventarisatie problemen en wensen 3G/4G ethernet satelliet data Ijsafzetting turbine bladen Tandwielkast schade Scheurvorming turbine bladen Towerbending Resonaties en structuur schade Gevolgen bliksem inslag Voorspellen van onderhoud Logistieke gevolgen van onderhoud Availability vs productivitie Turbine rendement absoluut Weer voorspelling vs productie. Etc.
Data intelligentie Stella Kapodistria
Stella Kapodistria Condition Based Maintenance Algorithms
CAMPI project Goal of the project: to develop service strategies that minimize cost whilst maximizing the availability and safety of assets. Maintenance & logistics planning WP I: Data Pooling, Eindhoven University of Technology WP II: Maintenance Clustering, Groningen University WP III: Integration and Implementation, Tilburg University Funding: Companies 26%, Universities 26%, Dinalog 48%
WP I: Data Pooling, Eindhoven University of Technology
Pooling of data means statistical analysis using multiple data sources related to multiple populations. There are three fundamental objectives: Aggregation in order to obtain more precise estimates. Comparisons of trends and differences across populations and times. Common interpretation of statistical information from multiple sources (similar or different populations). Taxonomy
Data Pooling: Taxonomy Intra pooling (a.k.a. sensor fusion) Inter pooling Different sensor readings on the same asset/component Similar sensor readings on different, but comparable, assets/components
Data Pooling Dynamic mind map with literature links Literature overview paper
Projects with Oliveira
Projects with Oliveira Data monitoring, fault detection and diagnostics Out-of-control action plan (OPAC) Estimation of the time to failure Estimation of the initial state of a wind turbine Industrial testbed for applying methods from the literature Improve Oliveira procedures
Projects with Oliveira Data monitoring, fault detection and diagnostics Current status: data collection data analysis (OMIS workstation) control charts (X-bar charts) identification of trends diagnose a possible failure Goal: Multivariate Statistical Process Control joint control charts derivation of tighter, joint thresholds business economic aspects of MSPC Intra pooling
Projects with Oliveira Current status: Expertise Monitoring (OMIS workstation) Out-of-control action plan (OPAC) Goal: creation of a flowchart for the out-of-control action plan activators checkpoints terminators
Projects with Oliveira Goal: Identification of critical failures Estimation of the time to failure Analysis of failure data Analysis of propagated failures Derivation of failure time distribution
Projects with Oliveira Current status: Every wind turbine is unique Estimation of the initial state of a wind turbine Goal: Identification of comparable components Creation of in-control indices Creation of a flowchart Structured algorithmic approach
Projects with Oliveira Data monitoring, fault detection and diagnostics Out-of-control action plan (OPAC) Estimation of the time to failure Estimation of the initial state of a wind turbine Industrial testbed for applying methods from the literature Improve Oliveira procedures
Stella Kapodistria Condition Based Maintenance Algorithms Thank you very much! Questions?