Online condition monitoring system addresses data challenges

Using NI InsightCM Enterprise, companies can cost-effectively monitor both critical and ancillary rotating machinery, which helps them gain a more holistic view of their fleets and manage operational risk while maintaining profitability and production efficiency. The enterprise software solves the data management, data analysis and systems management challenges that are common in Big Analogue Data applications. Its inherent flexibility and open architecture make it suitable for meeting evolving diagnostic program requirements.

NI InsightCM Enterprise acquires and analyses sensory information, generates alarms and allows maintenance specialists to remotely diagnose machine faults. Ready-to-run condition monitoring systems based on the CompactRIO hardware platform can acquire from a wide range of sensors for improved fault diagnoses. This hardware and software systems simplifies the configuration of and measurements from thousands of sensors, so users can remotely monitor device health, configure channels and upgrade firmware on deployed systems.

This online condition monitoring product is suitable for companies in a variety of industries, including oil and gas, power generation, mining, rail and industrial manufacturing, that need to optimise machine performance, maximise uptime, reduce maintenance costs and increase safety.

Key benefits:

• Cost-effective: Lowers the instrumentation cost for monitoring both critical and other plant equipment at a fleet-wide scale
• Open: Offers open software architecture to access data and gain interoperability with third-party enterprise software packages, such as CMMSs, database historians and prognostics tools
• Easily scalable: Scales from one to hundreds of nodes per NI InsightCM Enterprise server and replicates one system at multiple facilities
• Flexible: Incorporates CompactRIO to adapt to changing sensory needs while maintaining the user's investment in the platform

For more information on NI InsightCM Enterprise, visit www.ni.com/insightcm.