 
Company Background
Sentelligence is a technology
company rooted in the development of on-board,
intelligent fluid contaminant and wear diagnostic
systems for use in machinery and mobile equipment
globally.
Supply chain management and
global logistics have put tremendous pressure on
manufacturing and transportation equipment to
provide higher levels of productivity and reliable
performance, as these economic components continue
in their seamless systems integration. Equipment
down time or service failures have serious negative
consequences throughout the customer supply chain
and are often treated with zero tolerance.
To this end, “Equipment
Centric” maintenance practices -- such as scheduled
time, miles, or hours of use, are giving way to
“Systems Centric” practices – such as condition
based maintenance and ultimately, predictive
maintenance. With maintenance practices viewed in
this broader context of their impact on supply chain
management and logistics operations, quality and
timely information regarding equipment health is
essential.
The company’s core competencies
are in the miniaturization of instrumentation based
technologies such as, optical, electrometric, and
electromagnetic methods of measurement. Along with
its strategic partner’s, Sentelligence seeks to
create sensors and systems to optimize machinery and
equipment up time and lower the costs of operation
through better equipment maintenance practices and
energy management.
Emerging
Markets
In the engine and power train
market, for trucks and other mobile equipment,
routine maintenance practices have evolved around
oil drain intervals, historically. After all, the
engine is typically the most costly and also the
most maintenance sensitive component within the
power train. If we need to stop the equipment to
change the oil, the logic flows that we design all
of the other components that require routine
maintenance to match the maintenance intervals. This
is conventional “Equipment Centric” thinking.
What if we could double the oil
drain intervals safely? We could set new standards
for other components. Some power train components
have already improved to the point where inspections
and routine service can be extended. The measures of
savings shift from strictly shop labor and material
savings to discussions of operational improvements –
additional up time, incremental loads and revenue,
reduced capital requirements, oil waste disposal,
and energy management. This is un-conventional
“Systems Centric” thinking. Good information and
planning drive benefits deeper into the
organization.
Wireless communications coupled
with dispatch based systems in the mid-90’s created
technology core for logistics and ultimately supply
chain management. On-board diagnostic and prognostic
sensing coupled with wireless information systems
provides the technology core for emerging condition
based and predictive based maintenance.
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Emissions
Regulations
Environmental concerns have
come to the forefront once more. Global warming and
public health continue to be leading issues with
potentially serious economic consequences.
Significant reductions in NOx and low sulfur fuel
are important steps forward. They also have a short
term negative impact on new equipment and future
maintenance costs.
As these costs continue to
rise, operational and maintenance efficiencies
become even more important to help offset the cost
impact. Emissions solutions that include selective
catalytic reduction (SCR) require the use of a urea
mixture for post combustion treatment. Sentelligence
technology offers an opportunity to manage the
quality of these fluids to assure effective
application of SCR technology.
The company is actively working
toward a cost effective solution for urea condition
monitoring that can be used in conjunction with its
other fluid condition technologies to provide a
sensor network. This is central to the company’s
strategy of expanding the impact of condition based
and predictive maintenance systems.
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