Diagnostics, Asset Management
MIT researchers have developed an efficient algorithm that could provide a “push-button” solution for automatically designing fast-running neural networks on specific hardware. Courtesy: Chelsea Turner, MIT
Diagnostics, Asset Management March 22, 2019

Algorithm developed to improve machine-learning models

MIT researchers have developed an algorithm that designs optimized machine-learning models up to 200 times faster than traditional methods.

By Rob Matheson
Diagnostics, Asset Management March 20, 2019

Realizing the potential and benefits of an MES

Companies with a manufacturing execution system (MES) often generate a good initial return on investment (ROI), but there is a great deal of potential companies don't realize.

By Conrad Leiva
Courtesy: CFE Media
Diagnostics, Asset Management March 10, 2019

Resolve five Big Data, data acquisition challenges

Demystify the need for Big Data and five related challenges: data structure, scalability, integration, storage, and upgrades.

By Qasim Maqbool and Ahmed Habib
Diagnostics, Asset Management March 10, 2019

Rethink the organization’s structure

Cyber-physical environments will change what managers do.

By Jonathan Gross
Kevin Barker, Beckhoff Automation LLC president, discussed automation trends with Control Engineering and CFE Media in a Feb. 26 interview at the Beckhoff Savage, Minn., U.S. headquarters. Courtesy: Mark T. Hoske, Control Engineering, CFE Media
Diagnostics, Asset Management March 7, 2019

Automation trends, insights from a new company president

Companies need to be open to new technologies to see fundamental paradigm shifts in productivity, beyond incremental improvements. Rapid increases in productivity, visibility, flexibility, and agility are needed.

By Mark T. Hoske
Accessing SQL databases is simple through the capabilities of modern control systems. Courtesy: Beckhoff Automation
Diagnostics, Asset Management March 7, 2019

Six ways data acquisition strategies can support advanced analytics

Some applications require data acquisition strategies without cloud connectivity, but they can still benefit from advanced analytics technology.

By Daymon Thompson
Figure 1: Groups of parts can be categorized using color, but what if the number of relevant parameters are too many to be displayed using traditional visualization techniques? Courtesy: Inductive Automation
Diagnostics, Asset Management March 6, 2019

AI isn’t all magic

Software uses real-time data to draw real-world conclusions.

By Kevin McClusky
Figure 1: An explosion of new architectures for data collection, storage, and analysis is modifying the Purdue Model. Courtesy: Seeq
Diagnostics, Asset Management March 5, 2019

Big Data analysis or data acquisition? 

Centralized data architectures are adapting to new opportunities for data collection and analytics.

By Michael Risse
SKF Pulse combines a handheld sensor with a mobile app to allow users to monitor rotating equipment and machine health to predict issues and improve reliability before operations are impacted. Courtesy: SKF USA
Diagnostics, Asset Management March 5, 2019

Handheld sensor for monitoring rotating equipment

SKF Pulse combines a handheld sensor with a mobile app to allow users to monitor rotating equipment and machine health to predict issues and improve reliability before operations are impacted.

By SKF USA
TrendMiner 2019.R1 self-service analytics software release for process manufacturing includes a visual representation of time-series data, making it easier for users to analyze, monitor and predict process and asset performance. Courtesy: TrendMiner
Diagnostics, Asset Management March 2, 2019

Self-service analytics software for process manufacturing applications

TrendMiner 2019.R1 self-service analytics software release for process manufacturing includes a visual representation of time-series data, making it easier for users to analyze, monitor and predict process and asset performance.

By TrendMiner