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Dingo's Maintenance Focus Delivers Real Benefits
Dingo Maintenance Systems was formed in 1991 by a core
of Professionals who previously created oil analysis software
for a major coalmine and electric power generation facility
in Queensland, Australia. Dingo has since become a leading
independent supplier of oil analysis software solutions
in Australia, Southeast Asia and North America. Attention
to detail and customer requirements has enabled Dingo to
provide solutions for a range of applications from small
manufacturing facilities to large, remote mine sites with
in-house oil analysis laboratories and multiple clients.
Dingos commitment to oil analysis users has resulted
in constant improvement of software & services that
focus on delivering real maintenance benefits.
Developing an effective oil analysis information management
program requires more than the simple acquisition of a software
program. Staff education and training, database set-up and
implementation and on-going support all play a vital role.
While increased administrative efficiency is a benefit of
a properly implemented program, improved oil analysis effectiveness
is where the real pay-off lies. Better decisions based upon
better information lead to reduced failure rates and optimized
oil change and maintenance actions. For instance, the Chicago
Transit Authority operates 1878 buses and generates 12,000
samples per year. They justified the purchase of software,
implementation and training from Dingo on reduction of administrative
time alone. But the real pay-off of improved maintenance
effectiveness comes later.
FleetOil for Windows® is the preferred platform of most
oil analysis software solutions from Dingo. It runs on Windows
3.1, 95, 98 and NT, is single or multi-user capable on most
LANs and has an open database design that can be accessed
directly for custom querying and reporting. Quality documentation
and a user-friendly interface enable easy software configuration.
However, most customers opt for professional assistance
with this, as it ensures the database is configured for
optimal long-term performance. FleetOil provides many tools
to make life simpler and more rewarding for oil analysis
end users and service providers.
One-Touch Sample Retrieval: There is no 3rd party
communication software to deal with. Pressing one button
will dial your lab, retrieve results and flag abnormal samples.
Scheduled Auto-Dial makes results retrieval essentially
"hands-free".
Lab Independence: FleetOil is designed from the ground
up to be lab independent. If an organization changes labs
or works with multiple labs, the user needs only to add
different data drivers. The on-site database remains the
same and re-training and implementation is avoided. Results
may be collected from several different labs into FleetOil
with the ease of one-touch operation. Sample history can
be pre-loaded so trends can be utilized immediately.
User-Controlled Alarms: While most modern labs provide
excellent analysis services, interpretation can be somewhat
generic as they deal with many customers from a broad range
of industries and high sample volumes. Augmenting this service
with on-site tools for trapping abnormal situations can
be highly beneficial. FleetOil allows limits to be set globally,
for an equipment group or for specific equipment. Limits
can also be calculated statistically from actual site data,
allowing the definition of "abnormal" to reflect
conditions on site.
Exceptions Management: All abnormal samples create
an entry in the exceptions list. Exceptions remain on the
list until addressed by Maintenance Personnel, ensuring
nothing slips through the cracks. Notes can be added referencing
work orders, planned corrective action or interpretation
comments. Fig 1. Shows actioned items with a check, non-actioned
items with a cross. Alarm data is shown together with lab
analyst comments and easily configurable trends, allowing
maintenance decisions to be made quickly.
Fig. 1: Exceptions Management
Rates of Change: Raw result data can be confusing
if considered without the effects of oil age or oil additions.
Abnormal situations may be easily masked and normal situations
may falsely cause concern. FleetOil automatically calculates
rate of change data, accounting for the effects of make-up
oil and oil age data. The resulting trends show the rate
of increase or decrease of the test results, providing a
much clearer picture of what is happening. Alarm limits
can also be set on rate of change data.
Group Trending: Trends for a single equipment item
may be compared with trends for the whole group. This feature
simplifies the immediate comparison and assessment of "normality".
Multiple groups may also be compared with each other. This
feature enables quick experiments to justify changes in
maintenance policy. For example, a test group can be established
to compare to the general population to determine the viability
of extending oil drain intervals. Fig 2 shows the iron results
for an individual engine compared to iron results for all
engines in the group.

Fig. 2: Group Trending Graph
Dingo is currently working on the next generation of oil
analysis software products. Exciting developments include
32-bit client/server versions, improved trend analysis tools,
increased ease of use and flexibility.
This article appears in the March/April 1999 issue of Practicing
Oil Analysis, published by Noria
Corporation. Click here to link directly to the
article.

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