In the absence of
computer aided,
back-trace probing diagnostics, highly skilled technicians will develop
over period of time, a set of key nodes to measure to locate the
defective
component.
Nerds allows the
technician to
automatically capture this probe information in the form of a series of
questions that can later be used to input diagnostic data, such as:
Measure DC voltage at
Collector
of Q1:
Measure Resistance
across fuse
F2:
Is Switch S3 in the ON
position?
These questions are
then used
to collect actual circuit data during routine diagnostics in a
consistent
and repeatable maner. After the failing component has been located, all
the information is stored in a database for use by the software Neural
Network.
In use, the technician
simply
gathers the required information and enters it into the computer. The
Neural
Network analyzes the new data using proprietary mathematical and
logical
algorithms applied to previously stored failure histories to compute
the
most likely causes of failure. Hierarcically arranged predictions are
graphically
displayed in a two part graph based on both mathematical and historical
predictions. The technician is presented with all the information so he
can make his best judgement based on the facts.
If the technician then
finds
that the suspect component is not faulty, he locates the failure using
traditional methods and then updates the database so that future
diagnosis
will be able to use this new information. In this way, the NERDs
diagnostic
system always improves over time.
If your key technician
gets promoted
or moves to a better job, his expertise stays. No need to keep a good
technician
in the same job forever. Using NERDs, you can move him around to
various
jobs and capture his advanced expertise for the entire shop to use.
If used consistently in
this
maner, NERDs rapidly becomes the diagnostic expert of choice, resulting
in faster diagnosis, fewer wasted parts, faster unit turnarounds and
more
profits. No more "Dog" units to repair.
After a couple of
entries have
been made in the database, the Neural Network can be "trained"
and actual enhanced diagnostics can be used on the next unit needing
repair.
The technician again
gathers
the necessary data, and passes that information to the Neural Network,
which in-turn relays back to the technician which component is most
likely
the failing component. The technician can then jump straight to the
component
for verification, thereby saving dozens of steps in the normal
diagnostic
process.
Contact Us
