(118a) Data Requirements in the Modern Age of Process Analyzer Reliability and Troubleshooting
AIChE Spring Meeting and Global Congress on Process Safety
2020
2020 Virtual Spring Meeting and 16th GCPS
Industry 4.0 Topical Conference
Sensor Topic: If You Cannot Measure It, You Cannot Improve It
Wednesday, August 19, 2020 - 1:30pm to 1:45pm
With the advent of Industry 4.0, there has been a progressive emphasis on more data,
data analysis analytics, and employment of the analytics, therein. However, more data is not always
better. While aggregating data to increase plant and analyzer reliability is of paramount importance, it
is more important to collect the right data, store the data, manage the data, and then focus on the data
analysis. Without the right data, it is nearly impossible to get a result that is helpful for plant
operations. The old adage goes, “No Data is better than Bad Data.†We aim to elucidate what is good
data, some examples of how it can be used to enhance reliability, and how it can be used for more
advanced diagnostics and troubleshooting.
data analysis analytics, and employment of the analytics, therein. However, more data is not always
better. While aggregating data to increase plant and analyzer reliability is of paramount importance, it
is more important to collect the right data, store the data, manage the data, and then focus on the data
analysis. Without the right data, it is nearly impossible to get a result that is helpful for plant
operations. The old adage goes, “No Data is better than Bad Data.†We aim to elucidate what is good
data, some examples of how it can be used to enhance reliability, and how it can be used for more
advanced diagnostics and troubleshooting.