Data Acquisition

A robotic car controlled by an ultra-low power hybrid chip is placed into an arena to demonstrate its ability to learn and collaborate with another robot. Courtesy: Allison Carter, Georgia Tech
Robotics March 25, 2019

Top 5 Control Engineering articles March 18-24

Articles about low-power hybrid chips for robots, gaining the edge in automation, connecting quality and process data, manufacturing and process facility trends, and the Engineers' Choice Awards were Control Engineering’s five most clicked articles from March 18-24. Miss something? You can catch up here.

By Chris Vavra
Figure 1: Product quality is impacted and controlled in various stages before the customer uses it. Courtesy: TrendMiner
Data Acquisition, DAQ March 12, 2019

Connecting quality data to process data

Using advanced analytics can help assure product quality and overall operational efficiencies. See case study example.

By Edwin van Dijk
Courtesy: CFE Media
Data Acquisition, DAQ 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
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
Automation 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
Data Acquisition, DAQ 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: An explosion of new architectures for data collection, storage, and analysis is modifying the Purdue Model. Courtesy: Seeq
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
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
Analytics 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
Courtesy: CFE Media
Process Manufacturing February 5, 2019

Process automation device model endorsed by standards groups

FieldComm Group's process automation device information model specification (PA-DIM) has been endorsed by the OPC Foundation, and Profibus & Profinet International (PI).

By FieldComm Group
Data Acquisition October 17, 2018

Filter out the noise: strategies to avoid excessive data and spikes

New software and input/output (I/O) devices can help users eliminate useless data through effective diagnostics, error localization and filter designs to extract accurate figures.

By Andy Garrido, Beckhoff Automation
Events and Awards October 11, 2018

Vote now for 2019 Engineers’ Choice Finalists

The official ballot is open for voting for Control Engineering North American print and digital edition subscribers, for a limited time. Review finalists and vote by using CFE Media's New Products for Engineers platform. (Voting closed Jan. 4, 2019.)

By Amanda Pelliccione