National Instruments (NI), provider of platform-based systems that enable engineers and scientists 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 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.
In an age of Big Analog Data solutions, users can take advantage of machine learning. They can collect data and derive insights to improve operations, equipment and processes. Users can realize 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 aims to deliver 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.”