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NI online condition monitoring solution addresses Big Analogue Data challenges

National Instruments Aust & NZ announces the release of NI InsightCM
Enterprise, a new software solution that helps companies gain insight into the
health of their capital equipment for machine maintenance and operations.

Backed by over 15 years of experience in condition monitoring, NI
developed NI InsightCM Enterprise as its first end-to-end software solution
that addresses Big Analogue Data challenges and builds on the industrial
Internet of Things.

The NI InsightCM Enterprise solution delivers several advantages to companies
including the ability to cost-effectively monitor both critical and ancillary
rotating machinery, helping them gain a more holistic view of their fleets and
manage operational risk while maintaining profitability and production
efficiency. In addition to solving data management, data analysis and systems
management challenges common in Big Analogue Data applications, the enterprise
solution offers an ideal choice for meeting evolving diagnostic program
requirements with its inherent flexibility and open architecture.

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 information from a wide range of
sensors for improved fault diagnoses. This hardware and software
solution simplifies the configuration of, and measurements from thousands
of sensors, enabling users to remotely monitor device health, configure
channels and upgrade firmware on deployed systems.

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

Key benefits of NI InsightCM Enterprise online condition monitoring software
include cost effectiveness with lower instrumentation cost for monitoring both
critical and other plant equipment at a fleet-wide scale; open software
architecture to access data and gain interoperability with third-party
enterprise software packages, such as CMMSs, database historians and
prognostics tools; easy scalability from one to hundreds of nodes per NI
InsightCM Enterprise server, replicating one solution at multiple facilities;
and high flexibility via CompactRIO to adapt to changing sensory needs while
maintaining the user’s investment in the platform.

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