[comp.ai] Model based diagnosis products/work

tciaccio@hal.cdc.com (tom ciaccio) (03/21/89)

I'm interested in any products that do diagnosis of electronic devices
given a functional model of the device's parts.  Some time ago there
was a product called IN-ATE.  Does anyone know what happened to this
product?  Is anyone out there using it?  Are there any other products
or interesting work in this area?  Or should I stick to rule-based
implementations for real-world troubleshooting problems?  What's been
everyone's experience?

---
Thomas R. Ciaccio, Control Data Corporation
                   2800 E. Old Shakopee Road,  m/s HQM234
                   Bloomington, MN.  55425
EMail address -    tciaccio@shamash.cdc.com

clutx.clarkson.edu (collins anthony g,,,) (03/22/89)

From article <11936@shamash.cdc.com>, by tciaccio@hal.cdc.com (tom ciaccio):
> I'm interested in any products that do diagnosis of electronic devices
> given a functional model of the device's parts.  Some time ago there
> was a product called IN-ATE.  Does anyone know what happened to this
> product?  Is anyone out there using it?  Are there any other products
> or interesting work in this area?  Or should I stick to rule-based
> implementations for real-world troubleshooting problems?  What's been
> everyone's experience?
> 
> ---
> Thomas R. Ciaccio, Control Data Corporation
>                    2800 E. Old Shakopee Road,  m/s HQM234
>                    Bloomington, MN.  55425
> EMail address -    tciaccio@shamash.cdc.com

ACES learns heuristics for fault diagnosis from device descriptions.
The references are
Pazzani, M. Refining the Knowledge base of a diagnostic expert system
an application of failure driven learning. Proceedings of the National
Conference on Artificial Intelligence.American Association for Artificial
Intelligence.
Pazzani,M. Explanation based learning for knowledge based systems
Int. Joornal of Man-Machine Studies(1987)26,413-433.
I have no personal experience with these. I happened to have these
refs,that's all.
Please put a summary when you have received enough replies.

Arun 

funk@falcon.SRC.Honeywell.COM (Harry Funk) (03/30/89)

>  I'm interested in any products that do diagnosis of electronic devices
>  given a functional model of the device's parts.  
[stuff deleted]
>  Are there any other products or interesting work in this area?  Or
>  should I stick to rule-based implementations for real-world
>  troubleshooting problems?  What's been everyone's experience?
>
>  --- Thomas R. Ciaccio, Control Data Corporation
>		     2800 E. Old Shakopee Road, m/s HQM234
>		     Bloomington, MN.  55425 EMail address -
>  tciaccio@shamash.cdc.com
>

We've been working about four years on a large model-based system for the
Air Force called Flight Control Maintenance Diagnostic System.  It's for
F-16 flight controls, a quad-redundant fly-by-wire system.  Our model
covers the entire flight control system, 43 line replaceable units
(LRUs) containing over 800 sub-lrus (not to mention the signals, panels,
cables, ....)  Total is about 6000 frames.

We started working in KEE, but as the model grew, we've moved out of that
environment for everything but authoring the model.  It's in field test now
at McDill AFB.  It runs on a Compaq 386/20 PC compatible, and we're moving
to host it on a laptop.

We've been pretty happy (bias?  Ha!) with the model-based approach, since
it's easy to build tools to check the validity of the model, something that
rule-based approaches have a notoriously tough time doing (and something
that is of paramount importance to the AF).  We've used the same approach
for factory testing of production line products such as torpedos, and are
currently using it for commercial avionics and on Space Station.

It's also credible to say that this model-based system will run in
real-time, (see AI Magazine, Spring '88 for a discussion of real-time
rule-based systems and their roadblocks), since it has a guaranteed
response (cycle) time, after which it has an answer which incrementally
improves with more cycles (more information).

Harry A. Funk                             Voice: (612)-782-7396
Honeywell Systems and Research Center     Inet:  funk@src.honeywell.com
3660 Technology Dr.   MS:MN65-2400        UUCP:  funk@srcsip
Minneapolis, MN 55418 			  Bang:  {umn-cs,ems,mmm}!srcsip!funk