MP INtelligence. Predictive Production Performance Monitoring Maintpartner Group 2018

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1 MP INtelligence Predictive Production Performance Monitoring Maintpartner Group 2018

2 Maintpartner is a safe partner for industry. We help improve productivity and minimize process disruptions. In addition to long-term operation and maintenance contracts we offer project, engineering and installation services to industry. Our digital solutions represent the best-in-class development in the field. Wide range of expertise Industry s best practices for operation and maintenance Maintpartner Group 2018

3 MP INtelligence Predictive Production Performance Monitoring We help you run your assets constantly at their best Our analytics service learns and monitors the benchmark behavior of your system and delivers actionable insights for your personnel See signs of emerging failures before they escalate win time for root cause analysis, action planning and optimal work scheduling Immediately detect any abnormal operation, caused by even minor equipment malfunction or human misoperation minimize the underperformance time 20 years of development in the industry and used by our O&M professionals With MP INtelligence you will reduce your unavailability costs, avoid unplanned maintenance and achieve the assets full potential Maintpartner Group 2018

4 MP INtelligence More than data & analytics Combining Human Intelligence Processes 5 Data 1 Value 6 Connectivity 2 Our focus & differentiators 1 All available signal data 2 Quick, no platform lock-in 3 Industrial Machine Learning 4 Decision Support System 5 Established practicalities 6 Daily streams grow rivers People 4 Analytics 3 with Artificial Intelligence Maintpartner Group 2018

5 MP INtelligence Eliminating Root Causes React on... BEHAVIOR: Abnormal operations Abnormal system behavior Operator instructions Maintenance instructions Abnormal Operational Situation Abnormal Behavior of Individual Equipment Failure of Equipment To avoid LOSSES: Unplanned work Increasedmaintenance costs Increased operational costs Unavailability costs Unavailability Event Maintpartner Group 2018

6 Three ways to use MP INtelligence Online monitoring Event analysis Golden run Normal operation of the process as a model training benchmark Raise a notification of any signal deviation from the expected behavior Concerns both operations and maintenance, faulty sensors etc. Normal operation of the process as a model training benchmark Pin-point events of interest from maintenance or operational data Analyze deviations prior to the event to identify early signs/patterns Successful runs of the process as a model training benchmark Raise a notification of any signal deviation from the golden benchmark Understand the secret of a golden run and advise the operators Maintpartner Group 2018

7 Combining human and machine intelligence Ψ 2 2 θ σ OPC UA / SFTP XY Control Tower RE-TRAINING Operations & Maintenance SYSTEM LEARNS MORE AND MORE ABOUT WARNINGS, ACTIONS AND IMPACTS => AI TO FURTHER SUPPORT DECISION MAKING WARNING OCCURED RATING / FEEDBACK OF WARNING FEEDBACK ABOUT ACTIONS TAKEN OR MISSED EVENTS OPERATIONAL REQUEST Operations Manual handling, supported by AI WORK ORDER Remote Access Tool Technical Specialists Supervisor CMMS WORK ORDER WARNING HANDLING & DECISION MAKING On-site inspections Cross-check other process systems AI components in MP INtelligence UI Root cause analysis Rating & comments Maintenance person Maintpartner Group 2018

8 MP INtelligence Insurance view Money 1 2 Value Cost 3 MP INtelligence can be seen as a self-financing insurance against major downtime events Value for money comes in three ways: 1 Continuous small O&M insights and actions should cover the costs 0 2 Big payback when a major downtime event is prevented Time 3 Long-term asset life cycle extensions Maintpartner Group 2018

9 Service scope & implementation timeline 2-4 weeks* 1-2 weeks 1-2 months Continuous Setup Ramp-up Validation Operational MP service Model definition, & rough clustering Data connection and transfer practicalities Data cleansing, preprocessing Unsupervised machine learning Model tuning by MP experts Model on-line and trained Actively follow & rate warnings Model re-tuning Daily/freq. call SaaS & updates Well trained models Monitor model performance CTR support Weekly review Client effort Tag list, structure Component hierarchy Data availability, 1-day meeting Name the first RAT users and steering team RAT training (½ day, f2f or call) Follow RAT Daily/freq. call Use RAT daily Act upon insights User feedback Weekly review *Strongly dependent on data transfer readiness at client end Maintpartner Group 2018 RAT = Remote Access Tool CTR = Control Tower (MP back office)

10 Case example CHP plant Circulation fan bearing With MP INtelligence (actual): 10 & 18 JAN MP IN Warning 18 JAN 15 FEB 22 APR 25 APR 8 MAY Spare part order Spare part in stock Breakdown Planned repair Plant running Realized loss time: 16d and without (most likely scenario): Loss time: burned natural gas instead of wood chips => extra cost 25 k /day 22 APR 25 APR 23 MAY 25 MAY 26 MAY Realized loss time: 34d Breakdown Spare part order Bearing delivery time 4 weeks even as an emergency order Spare part in stock Finalize the repair Plant running Cost difference: ~450 k Maintpartner Group 2018

11 Maintpartner Group 2018 MP INtelligence