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Condition Monitoring for Industrial Assets

Improve plant availability with an open, modern approach to reliability maintenance that combines asset monitoring software, analytics, wireless vibration sensors, and online instrumentation to get the right information before failure happens.

Maintain the Uptime of Your Operating Equipment

LG&E and KU Energy

Condition monitoring and predictive maintenance programs help improve plant availability and reliability, but both approaches rely on asset health data for success. NI InsightCM™ condition monitoring software combines intelligent monitoring devices and wireless vibration sensors to help your reliability engineer provide the asset health data needed to improve productivity, availability, and reliability. InsightCM is the most open condition monitoring software on the market. Analyze faults with online software tools, minimize change by connecting to tools you use such as the OSIsoft PI System™ or Microsoft® Azure IoT Hub, and assess risk to operation with analytics designed for rotating equipment. NI can help you deploy IoT monitoring solutions with confidence using technology built on over 40 years of test and measurement experience.

Condition Monitoring Featured Content

C-Suite KPIs and Predictive Maintenance
Getting Executive Attention and Support for Predictive Maintenance

"Cool” technology doesn’t always help turn a profit. Read this brief from Ralph Rio, Vice President of ARC Advisory Group, to get thoughts on connecting maintenance KPIs to C-suite KPIs.

LG&E and KU Energy
Understand Automating Data Collection with LG&E and KU Energy

LG&E and KU Energy’s generation services group automates data collection with IoT technologies to help the maintenance team shift focus to data analysis and finding problems.​

NI is an Affiliate member of the Intel® IoT Solutions Alliance. Intel and NI have partnered to help companies act on their industrial operational data to improve the health of their production assets.