Remote - Fall 2015 - (Page 6)
Feature Article
Industrial Internet Solutions Improve Operational
Efficiency for Fleet Operators
Ken Crawford, Chief Innovation Officer
GE Intelligent Platforms
The Industrial Internet, or Internet of Things (IoT), is enabling fleet
operators to improve their overall profitability as they seek to boost productivity and reduce operating costs. The opportunity to create these new
efficiencies and impact the bottom line has materialized through lower cost
technology and the emergence of hosted and cloud-based remote monitoring and diagnostics (RM&D) solutions, combined with analytics, and
offered as a subscription service.
The Industrial Internet helps fleet owners and lessees connect their assets
to gather data and insights that
can empower operators to make
smarter, more informed decisions that save time and money.
Taking advantage of secure
hosted and cloud-based services
has helped improve fleet asset
availability and productivity
across a variety of industries.
Hosted and/or cloud-based
remote monitoring and diagnostic (RM&D) solutions like GE's
Equipment Insight solution
powered by Predix quickly and
cost-effectively transform raw
data into actionable information, helping fleet operators to
understand the health of their
assets and how they are being operated, without the time and cost of traveling to the asset. Armed with this critical information, operators can predict
equipment failure before it impacts the rest of their operations - and their
bottom line.
Monitoring Fleet Assets Improves Productivity
There are two keys to improving asset reliability and operational efficiency of a fleet: understanding the health of an asset and understanding
how it is being operated. With the help of analytics, fleet operators can
predict and prevent equipment as well as system failure. Often the failure of
one asset can have far-reaching consequences, impacting an entire process
or operation. For example, a pump on one oil rig can shut down an entire
drilling operation.
The health, or current state, of an asset is a snapshot of its current condition. Much like a person's health, equipment health can be determined by
gathering and analyzing information. With this data, a catastrophic failure
can likely be predicted and avoided. In a human, that might mean detecting
a clogged artery before it triggers a heart attack. For a fleet operator, that
might mean determining that a turbine fan is vibrating abnormally or that
a filter is clogged, either of which could lead to catastrophic failure if not
addressed in a timely fashion. Timeliness is a key point here. A filter might
be cleaned or changed periodically, but what if it needs to be changed now?
By leveraging equipment data, operators can take the right steps to prevent
asset damage and maximize system uptime.
Hosted and cloud-based remote monitoring systems can enhance operational efficiency with basic information that can have large payoffs. A good
example is simply tracking the location of an asset. Let's say that a pump
was delivered to a site, but the receiving operator goes on vacation and
neglects to log the asset. A valuable asset is now out of service for a week
or two, with no record of where it is. Basic data like asset location, not to
mention operating state and advanced analytics, can help drive productivity. And, gathering this critical data isn't dependent on manual data entry
by employees.
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Remote Monitoring Reduces Operational, Maintenance
And IT Costs
In addition to boosting reliability and productivity, capturing and
analyzing fleet asset data can also reduce operational and maintenance
costs. Estimates vary depending on the asset and industry, but moving from
calendar-based maintenance to condition-based maintenance can result in
10 to 25 percent reduction in maintenance costs.
Here's an example from a GE customer that uses steam turbines for
power generation. The turbine
has an air filter that needs to be
changed regularly. Before the
customer installed our analytics
tools, the filter was changed
on a regular basis - calendarbased maintenance.
But now, this company has
put airflow meters on either
side of the filter. When the
airflow is reduced, the filter
is dirty. The analytics system
sends this information to the
maintenance staff, which then
changes the filter - conditionbased maintenance. By using
this simple analytic enabled by
remote monitoring, this company eliminated one filter change
a year. This is a deceptively significant accomplishment. The maintenance
(changing the filter) now only has to be done when necessary, not on a set
schedule. This means less downtime, one less expensive filter to purchase
and install, and less use of maintenance personnel.
Similar advantages can be obtained in nearly any situation where the
customer can move from calendar-based to condition-based maintenance.
Changing gearbox oil based on monthly oil analysis versus run time hours
is another example. Over-maintaining an asset based on a set schedule adds
operational risk and unnecessary downtime and cost. Under-maintenance
can also occur if following a set schedule, resulting in increased asset failure
risk. Maintaining assets when they actually need maintenance minimizes
those costs and risks, but requires data and the analytics of that data. Analytics tools, like those found in GE's Equipment Insight solution, provide the
owner with the capability to improve operational efficiency by providing the
insight into the health of each asset and the need for asset maintenance.
Not only can remote monitoring and diagnostics reduce maintenance
costs, it can be used to help ensure that maintenance is performed correctly.
Maintenance instructions can be uploaded to help ensure electronic standard
operating procedures (ESOPs) are followed. Service logs can be entered,
and then reviewed before and after maintenance visits. Equipment data and
input from the operator and maintenance personnel can all be collected to
validate that maintenance procedure were done properly this time, and will
be done properly next time. Again, no need to rely on people to communicate critical information.
RM&D solutions leverage mobile communication technology to
increase productivity. The output of data analytics can be communicated as
alarms that indicate risk of failure. These alarms can be sent directly from
the asset to a handheld device or PC. The operator can then take the appropriate action based on the asset data, regardless of their location.
Armed with asset data, fleet operators can optimize their maintenance
assets. Consider the failure of a compressor on a pump located in the middle
of a desert. Without remote monitoring, two people have to travel to the
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Table of Contents for the Digital Edition of Remote - Fall 2015
Editor's Choice
Industrial Internet Solutions Improve Operational Efficiency for Fleet Operators
Driving Down Your Costs with Wireless Automation
Create a Better Remote HMI Mobile User Experience
Site Knowledge + Predictive Analytics = Maximum Availability and Business Continuity
How Can Remote Applications Grow with the Internet of Things?
IoT Can Change How Remote Sites and Assets Are Managed, But Only if Devices are Secure
Remote Monitoring and Predictive Diagnostics of Remote Power Systems
CCVT for Reliable Remote Applications
SCADA
Networking
Security
Onsite Power
Enclosures
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