he Condition Monitoring and Predictive Maintenance Testbed integrates machine learning algorithms and models to identify machine failures, reduce maintenance costs and keep operations safe

AUSTIN, Texas -- October 25, 2016

NI (Nasdaq: NATI), the provider of platform-based systems that enable engineers and scientists to solve the world’s greatest engineering challenges, announced today that SparkCognition is partnering with NI and IBM to collaborate on the Condition Monitoring and Predictive Maintenance Testbed. The goal of the collaboration is to deliver an unprecedented level of interoperability among operational technology and informational technology as organizations search for better methods to manage and extend the life of aging assets in heavy machinery, power generation, process manufacturing and a variety of other industrial sectors.

{image:1}

In a new age of Big Analog Data™ solutions, users can take advantage of machine learning to harness value from information. They can collect raw data and derive insights to improve operations, equipment and processes. Users can also realize huge cost savings and competitive advantages as artificial intelligence-driven prognostics warn of component failures before they occur, identify suboptimal operating conditions and assist with root-cause analysis.

NI’s open, software-centric platform creates the foundation of the Condition Monitoring and Predictive Maintenance Testbed, which delivers on the opportunities present in machine learning. Customers can apply SparkCognition’s cognitive analytics to proactively avoid unplanned equipment fatigue and failure of critical assets thus enhancing system capabilities by gaining advanced insights into equipment health and remediation solutions. These capabilities help increase operational efficiencies and safety, and decrease maintenance costs.

“With IIoT technologies driving vast sensorization of industrial equipment, and massive amounts of data being collected on those assets, the collaboration between NI and SparkCognition powers the complex and intelligent processing of information to produce valuable insights,” said Stuart Gillen, director of business development at SparkCognition.

“We are excited that our platform can acquire the data and extract the features to drive SparkCognition analytics for IIoT solutions,” said Jamie Smith, director of embedded systems at NI. “Combined with existing technologies in the testbed, the addition of SparkCognition presents new ways to help automate the process of turning sensor data into business insight.”

With this software-defined approach, viewing, managing and refining a broad range of assets stands in direct contrast to the traditional, fixed-functionality methods of the past, which often take too much time, rely on hard-to-find talent and require custom model building for each type of asset.

To learn more about this cutting-edge embedded intelligence testbed and the opportunities it presents, visit www.iiconsortium.org/cm-pm.htm.

About NI
Since 1976, NI (www.ni.com) has made it possible for engineers and scientists to solve the world’s greatest engineering challenges with powerful platform-based systems that accelerate productivity and drive rapid innovation. Customers from a wide variety of industries – from healthcare to automotive and from consumer electronics to particle physics – use NI’s integrated hardware and software platform to improve the world we live in.

About SparkCognition
SparkCognition, Inc. is the world's first cognitive security analytics company, based in Austin, Texas. The company is successfully building and deploying a cognitive, data-driven analytics platform for clouds, devices and the Internet of Things industrial and security markets. SparkCognition applies patented algorithms that deliver out of-band, symptom-sensitive analytics, insights and security. SparkCognition was named the 2015 Hottest Start Up in Austin by SXSW and the Greater Austin Chamber of Commerce, was the only US-based company to win Nokia’s 2015 Open Innovation Challenge, was a 2015 Gartner Cool Vendor and is a 2016 Edison Award Winner. For more information on the company, its technology and team, please visit www.sparkcognition.com.

Big Analog Data, LabVIEW, National Instruments, NI and ni.com are trademarks of National Instruments. Other product and company names listed are trademarks or trade names of their respective companies.

Upcoming Events

August 9 - August 11 2022

MaximoWorld 2022

View all Events
banner
80% of Reliabilityweb.com newsletter subscribers report finding something used to improve their jobs on a regular basis.
Subscribers get exclusive content. Just released...MRO Best Practices Special Report - a $399 value!
DOWNLOAD NOW
Three Things You Need to Know About Criticality Analysis

When it comes to criticality analysis, there are three key factors must be emphasized.

Turning the Oil Tanker

This article highlights the hidden trap of performance management systems.

Optimizing Value From Physical Assets

There are ever-increasing opportunities to create new and sustainable value in asset-intensive organizations through enhanced use of technology.

Conducting Asset Criticality Assessment for Better Maintenance Strategy and Techniques

Conducting an asset criticality assessment (ACA) is the first step in maintaining the assets properly. This article addresses the best maintenance strategy for assets by using ACA techniques.

Harmonizing PMs

Maintenance reliability is, of course, an essential part of any successful business that wants to remain successful. It includes the three PMs: predictive, preventive and proactive maintenance.

How an Edge IoT Platform Increases Efficiency, Availability and Productivity

Within four years, more than 30 per cent of businesses and organizations will include edge computing in their cloud deployments to address bandwidth bottlenecks, reduce latency, and process data for decision support in real-time.

MaximoWorld 2022

The world's largest conference for IBM Maximo users, IBM Executives, IBM Maximo Partners and Services with Uptime Elements Reliability Framework and Asset Management System is being held Aug 8-11, 2022

6 Signs Your Maintenance Team Needs to Improve Its Safety Culture

When it comes to people and safety in industrial plants, maintenance teams are the ones who are most often in the line of fire and at risk for injury or death.

Making Asset Management Decisions: Caught Between the Push and the Pull

Most senior executives spend years climbing through the operational ranks. In the operational ranks, many transactional decisions are required each day.

Assume the Decision Maker Is Not Stupid to Make Your Communication More Powerful

Many make allowances for decision makers, saying some are “faking it until they make it.” However, this is the wrong default position to take when communicating with decision makers.