Assets management improvement via three-steps procedure
KPI
Everybody does mistakes. Only the best can measure them
Measurement uncertainty: some words on error theory
Data Analysis Ninth Step: Results are only real when shared
Part 10: Data Analysis ninth step: reporting
Data Analysis eight step: Service, delivered!
Part 9: Data Analysis eighth step: deployment
Data Analysis seventh step: Aim for the extra mile, it’s never crowded!
Part 8: Data Analysis seventh step: fine tuning
Data Analysis sixth step: Are we (really) done?
Part 7: Data Analysis sixth step: validation
Data Analysis fifth step: Here comes the sun… ehm… the fun!
Part 6: Data Analysis fifth step: data processing
Data Analysis fourth step: It’s time to suite up!
Part 5: Data Analysis fourth step: data pre-processing
Data Analysis third step: It’s not data we explore, but ourselves
Part 4: Data Analysis third step: data exploration
Data Analysis second step: How I met your data
Part 3: Data analysis second step: data acquisition
Data Analysis first step: goal setting
Part 2: Data analysis first step: goal setting
Data Analysis: You know you need it…!
Part 1: Data analysis main steps
In KPI we trust… or not?
Data analysis in the renewable energy sector. Aka we want accurate info!
Will be (a fault) or no will be? This is the (predictive) question!
How to predict incoming faults and live happily ever after – Part 1