NDLI: Diagnositc Reasoner Model Production from Atlas Test Program Sets

Content Provider	IEEE Xplore Digital Library
Author	McCroskey, R. Dietz, M.
Copyright Year	2006
Description	Author affiliation: Honeywell Int., Minneapolis, MN (McCroskey, R.; Dietz, M.)
Abstract	Model-based diagnostic reasoning provides improvements in fault isolation and repair time as well as cost savings provided by a reduction in false pull rates. To support legacy systems that use ATLAS test program sets for fault isolation and repair, Honeywell has developed a method for extracting diagnostic fault models from ATLAS source code. We will describe the content of the fault models and highlight model features that use data collected in a netcentric maintenance environment to optimize reasoner performance. We will then present a description of the method used to create bootstrap fault models, including a configurable ATLAS source code parser that uses regular text expressions to extract test and fault information from Test Program Sets and create fault models.
Starting Page	649
Ending Page	653
File Size	5229926
Page Count	5
File Format	PDF
ISBN	1424400511
ISSN	10887725
DOI	10.1109/AUTEST.2006.283741
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Production Data mining System testing Isolation technology Costs Optimization methods XML Performance evaluation Fault detection Fault trees
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Translating test programs using a model-based process

Isolation Forest

Compacting randomly generated test sets

Study of the Test Flow Optimization Method in Radar Fault Isolation

Enhancement of system test and evaluation from birth to battlefield through technology integration with maintenance test and training

Forming N-detection test sets from one-detection test sets without test generation

Test sequencing in modular systems

Enhanced testing performance via unbiased test sets

Diagnostic expert systems from dynamic fault trees

Diagnositc Reasoner Model Production from Atlas Test Program Sets

Similar Documents

Translating test programs using a model-based process

Isolation Forest

Compacting randomly generated test sets

Study of the Test Flow Optimization Method in Radar Fault Isolation

Enhancement of system test and evaluation from birth to battlefield through technology integration with maintenance test and training

Forming N-detection test sets from one-detection test sets without test generation

Test sequencing in modular systems

Enhanced testing performance via unbiased test sets

Diagnostic expert systems from dynamic fault trees

Diagnositc Reasoner Model Production from Atlas Test Program Sets