Condition Monitoring for Industrial Assets

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

Maintain the Uptime of Your Operating Equipment

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 prepare for an unknown future with the software development kit (SDK). 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

Duke Energy Uses IIoT for Predictive Maintenance Applications

This case study from IHS Markit Technology investigates Duke Energy's quest to replace 60,000 monthly data collections with remote data collection and condition monitoring.

Addressing the Challenges of Online Monitoring

This white paper teaches how a reliability engineer can improve reliability with technology considerations for implementing an online monitoring solution for predictive maintenance.

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.