Gain unparalleledoperational clarity andcontext with System 1
System 1 offers plantwide insights toreduce risk, increase productivity, andminimize unplanned downtime

Challenges of modern
industrial operations
As Digital Transformation strategies are deployed to increase operational
efficiency throughout the industrial sector, factory productivity and reliability
expectations continue to rise. Here are some of the challenges factory
maintenance teams must overcome in order to meet productivity goals while
minimizing downtime and protecting the integrity of operations.

Operations are fragmented across the plant anddata is siloedPreparing for digital transformationin the industrial sector
As industrial operators begin their digital transformation
journeys, one of the key differentiators for truly optimized
efficiency will be gaining a single plantwide view ofoperations. A connected factory supported by a powerful
condition monitoring platform turns data collected fromassets into actionable insights that help teams across allindustries make smarter proactive maintenance decisions.
Process-intensive operators are increasingly looking forways to streamline production in the face of globalization,a shifting workforce, and heightened cyber security threats.
System 1 supports these goals by empowering reliability,operations, and maintenance teams to proactively improve
productivity. The right predictive maintenance technology
can help decrease unplanned downtime by 40%, decrease
machinery breakdowns by 70%, and increase overall
production by 25%.

2

Improving operational efficiency, increasing personnel
safety and protecting against environmental hazards while
maintaining a competitive advantage over peers is virtuallyunachievable without intelligent adoption of technology andcultural acceptance of changes to long standing processes.
System 1 can kickstart digital transformation at your facility
by empowering your personnel to do their jobs better thanever before.

Industries include:• Refining• Upstream oil and gas• Power• Petrochemical• Metals• Pulp and paper• Mining and aggregate• Food and beverage• Pharmaceuticals

Machinery expertise may be centralized and notavailable at every plant location
Aging workforce means losing machine andplant knowledge
Outdated maintenance techniques result in
unnecessary maintenance and unplannedmachine failures
Lack the plantwide view of operations to perform
efficient Root-Cause Failure Analysis (RCFA) when
an asset does failData accessibility limited to factory so asset
insights are not shared enterprise-wide
Continuing to depend on time-based maintenance or condition monitoringof only critical assets is inconsistent and unreliable at best. The potentiallycatastrophic gaps in monitoring that occur by using a siloed maintenancestrategy expose plants to significant financial and environmental risks and fall far
short of the necessary reliability goals for modern industry maintenance to movefrom reactive to proactive to predictive.

3From siloed data to acentralized platform
Factories that rely on asset condition monitoring to monitor the health ofequipment are already taking proactive steps toward more efficient and effective
maintenance. Unfortunately, most solutions are still siloed, with data collectedconcurrently from handheld devices, manufacturer-installed sensors andthird‑party sensors. Each different monitoring tool provides small siloed pockets
of clarity unless there is a centralized platform to access data and process
plantwide insights.
In many cases, there are only one or two multi-skilled maintenance professionalsin a factory that have the ability and experience to make critical maintenancedecisions using disparate data—and most of them are nearing retirement. In
manufacturing, 50% of the workforce is forecasted to retire in the next 5-10 years.
Therefore, manufacturers must adapt and successfully integrate an inexperienced
but digitally-savvy workforce into their maintenance teams. While man expertiseis difficult to replicate, technology can be leveraged to collect and transmit
contextual data from individual assets to a centrally managed location foranalytical development and remote support. Armed with data-fueled plantwide
insights, maintenance teams can make smart, timely, and proactive decisions
about individual assets and the plant as a whole.

System 1 provides
operational clarity
and context“Bently Nevada is
one of the condition
monitoring firms thatcan rightly claim
they invented thewhole concept ofAsset Managementin the first place.”

System 1 streamlines decision-making processes by bringing
machine data into a single platform, providing clarity and context
to your operations and enterprise. Harnessing the power ofBently Nevada’s decades of machinery research and advanced
diagnostics expertise, this powerful tool is a key componentof successful digital transformation in any industrial facility.
By combining its Connectivity, Analytics, and Visualization
capabilities, System 1 is the premier edge historian and condition
monitoring platform among industrial operators.

— Control Magazine

Bently Nevada is theworld’s industrial condition
monitoring leader
Bently Nevada has a rich heritage in helping customers solve
industrial maintenance challenges that is over 60 years strong.
Through user research in 20 countries with more than 400 endusers, we have studied our customer’s team dynamics, site
processes, and technology suites to determine how System 1 canbest support plantwide machinery management. The resulting
platform is the most comprehensive and user-intuitive condition
monitoring solution ever developed.

Siloed data provides pockets of clarity but lacks a plantwide viewBently Nevada by the numbers

Proven leaders in condition monitoring solutions
60+ years

machinery protection
and condition
monitoring

4

8 million+
sensors in use

600+

patents owned

300,000+
monitoring
devices in use

5

From Edge to Enterprise,
System 1 brings it all together

67Connectivity + Analytics + Visualization= a complete solution

Connectivity

System 1 condition monitoring platform connects to data sources on the Edge andcollects high resolution vibration, process, and control system data. This data can becollected at up to once-per-second from a Bently Nevada Device, such as 3500 orRanger Pro, from a Programmable Logic Controller (PLC), or from another Historian. Inaddition, an alarm on any tag mapped to a machine will trigger high-resolution data
capture from all other tags, which includes 100 ms static data from Bently Nevada’s
3500, ADAPT, and Orbit 60 series devices.

System 1 server
Propriety TCP/IP

Bently Nevada
devices

OPC/Modbus

Trend data
Waveform data
Device alarms

Vibration system data
VI

8TIZI

SI

Motor data
IITI

EI

Any tag candrive high-res
data capture
in System 1

Enumerated data

Lube oil data

Seal gas data

PIPI

PD

TI

LI

Control system/
historian

Process tags

PD

TILI

FI

Stage process data
PI

PD

TI

LIFI

XV FV PV9

We are using it (System 1) to proactively detect
early trends. Along with this, we are using it toschedule our maintenance conditionally. We haveextended outages from 6 years to 10 years onsome of our equipment.
— Invista

Analytics

Within System 1, threshold alarms can be configured per machine operating state, withadjustable settings for time delay, latching, and suppression. Four levels of alarm setpoints
can be configured per measurement, regardless of the source of the data (e.g., Bentlydevice, OPC). Decision Support extends the analytic capabilities of System 1, enabling users
to build custom rules for deeper insights into the behavior of their machines and enhanced
knowledge across plants or entire enterprises. Bently Performance further expands analytic
capabilities within System 1 by offering online thermodynamic performance monitoring.

Visualization

Post collection and analysis, System 1 provides best-in-class visualization tools. The HMI
Builder allows users to graphically represent their entire Plant System using the built-in
symbol library. The HMI view graphically depicts operational health, allowing users to focus
on their high priority assets. Collected data can be viewed and manipulated within theplotting workspace, enabling users to diagnose machinery health issues. With a multitudeof plot types and tools, users can quickly identify abnormalities and assess their impact on
the smooth operation of their facility.

System 1
Core alarming,
state analysis

Decision Support
Custom algorithms,
waveform extractions

Bently Performance
Thermodynamicperformance

1011

Want to learn more?
Bently.com

Copyright 2023 Baker Hughes Company. This material contains one or more registeredtrademarks of Baker Hughes Company and its subsidiaries in one or more countries. All
third-party product and company names are trademarks of their respective holders.
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