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#33: Digital Transformation in the Power Industry 4 ǀ Data Validation
Discover how the validation of measurement data lays the foundation for more reliable assessments.
In this episode, OMICRON data transformation experts David Gopp and Lukas Klingenschmid talk about the validation of measurement data and the role it plays in achieving a successful digital transformation in the power industry.
They explain how data validation is used to check different factors that can influence the consistency and quality of measurement data, such as the measurement setup, the accuracy of the measurement device, as well as possible effects caused by the environment.
David and Lukas also emphasize the necessity to validate measurement data before it is processed, distributed and used for asset condition assessments and maintenance planning. For example, an incorrect condition assessment resulting from inaccurate measurement data can lead to misinformed decisions and costly mistakes.
Lastly, David and Lukas describe how artificial intelligence based on the use of smart algorithms can be successfully applied to validate the integrity of measurement data.
We would really like to know what you think about Energy Talks and which topics you would like to hear more about. To do this, simply send us an email to [email protected] and be sure to give us a star review on Spotify or Apple Podcast. Thanks for your feedback!
Please join us to listen to the next episode of Energy Talks 🎙️
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By OMICRON electronics GmbHDiscover how the validation of measurement data lays the foundation for more reliable assessments.
In this episode, OMICRON data transformation experts David Gopp and Lukas Klingenschmid talk about the validation of measurement data and the role it plays in achieving a successful digital transformation in the power industry.
They explain how data validation is used to check different factors that can influence the consistency and quality of measurement data, such as the measurement setup, the accuracy of the measurement device, as well as possible effects caused by the environment.
David and Lukas also emphasize the necessity to validate measurement data before it is processed, distributed and used for asset condition assessments and maintenance planning. For example, an incorrect condition assessment resulting from inaccurate measurement data can lead to misinformed decisions and costly mistakes.
Lastly, David and Lukas describe how artificial intelligence based on the use of smart algorithms can be successfully applied to validate the integrity of measurement data.
We would really like to know what you think about Energy Talks and which topics you would like to hear more about. To do this, simply send us an email to [email protected] and be sure to give us a star review on Spotify or Apple Podcast. Thanks for your feedback!
Please join us to listen to the next episode of Energy Talks 🎙️
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