Diagnostics, Asset Management
Securing smart manufacturing and workforce confidence
The importance of real-time IT/OT data access when it comes to improving efficiency and productivity.
3 data analysis tips: Adapt data, leverage employee skills, innovate
Industry 4.0 requires an appropriate use of data structures, people skills and analytic tools.
How raw data is made ready for applying analytics
Subject matter experts best positioned to judiciously transform process data for analysis
Most-viewed university articles in 2019
The most-viewed articles from university sources included stories on drag-and-drop analytics, robotic actuators, nanocrystals, and prolonging power plant life with AI. Links to each article below.
Interoperability and how to sustain it
Vocabulary and concepts for the age of analytics
Evolution of modern manufacturing: more data
Automation future: The Industrial Internet of Things (IIoT) and Industry 4.0 are widely known concepts, have not been widely adopted. On the way, physical device data connectivity can increase information flow to add efficiency, eliminate errors and increase uptime
Optimizing asset performance in refineries
Advanced analytics use machine learning to simplify user experience, generate process data insights.
Using IEC 61131-3 programming languages for simulation
See five paybacks of simulation. Use IEC 61131-3 programming languages and modern programming tools to easily integrate simulation to development workflow.
Leverage object-oriented industrial programming
Plants and equipment are assembled from objects, so controls architecture should be too. New tools help industrial programmers deliver the productivity of object-oriented programming (OOP) without the complexity.
Basic steps to take when applying analytics processing
Upstream oil & gas operations improved using data analytics.
