Diagnostics, Asset Management
Figure 1: A DP flow meter built around a multivariable transmitter can measure a range of variables in addition to the primary flow measurement. Courtesy: Emerson Automation Solutions
Diagnostics, Asset Management February 27, 2019

Extend edge data gathering with multivariable instruments

Measure multiple variables to deliver data-rich IIoT applications.

By Connor Eberle
Nihar Satapathy delivers the keynote at the ARC Advisory group Forum in Orlando on Feb. 5. Courtesy: Mark T. Hoske, CFE Media
Diagnostics, Asset Management February 5, 2019

‘Data is the currency of the future’

Embrace digital manufacturing and use data to provide customer value.

By Bob Vavra
Control Engineering 2019 Engineers' Choice Awards
Diagnostics, Asset Management February 4, 2019

2019 Engineers’ Choice Awards

Spotlight on innovation: Best automation, control, and instrumentation products in 26 categories.

By Amanda Pelliccione
Seeq Corporation's R21 is an advanced analytics solution designed process manufacturing industries such as oil & gas, pharmaceutical, and chemical. Courtesy: Seeq
Diagnostics, Asset Management February 1, 2019

Advanced analytics solution for process applications

Seeq Corporation's R21 is an advanced analytics solution designed process manufacturing industries such as oil & gas, pharmaceutical, and chemical.

By Seeq Corporation
A model by MIT and Microsoft researchers identifies instances where autonomous cars have “learned” from training examples that don’t match what’s actually happening on the road, which can be used to identify which learned actions could cause real-world errors. Courtesy: MIT News
Diagnostics, Asset Management January 28, 2019

Model developed to identify artificial intelligence blind spots

Researchers at MIT and Microsoft have developed a model that identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.

By Rob Matheson
Courtesy: Pemeco Consulting
Diagnostics, Asset Management January 28, 2019

From manufacturing execution to supply chain management: Your questions answered

Webcast presenter Jonathan Gross answered questions about topics such as Industrie 4.0's relevance and FDA requirements for manufacturing execution systems (MES).

By Jonathan Gross
Researchers at Stanford University are trying to find engineering materials more efficiently with machine learning. Courtesy: Kevin Craft, Stanford University
Diagnostics, Asset Management January 24, 2019

Artificial intelligence algorithms developed to find engineering materials

Researchers at Stanford University are leveraging machine learning to help find engineering materials more efficiently.

By Andrew Myers
Combine data science and computing power with sensor-captured data to derive better solutions for complex problems. Courtesy: L&T Technology Services
Diagnostics, Asset Management January 8, 2019

The digital fuels the oil & gas industry toward profitable transformation

A panoply of solutions powered by artificial intelligence.

By Subrat Tripathy
Figure 1: Dynamic human-machine interface (HMI) content such as scalable vector graphics (SVG) makes it easier to visualize complex manufacturing processes. Courtesy: B&R Automation
Diagnostics, Asset Management January 2, 2019

Automation programming advances enhance communication, programming capabilities

Automation software and hardware advances reduce programming tasks and provide more built-in configurability, scalability, background communication among software components, simulation/digital twin capability, and usability.

By John Kowal
Omron Automation Americas’ Sysmac AI Controller handles several key steps in the data-driven decision process for predictive maintenance applications. Courtesy: Omron
Diagnostics, Asset Management January 1, 2019

AI controller with machine learning functionality

Omron Automation Americas’ Sysmac AI Controller handles several key steps in the data-driven decision process for predictive maintenance applications.

By Omron Automation Americas