Application of Information Theory to Sequential Fault Diagnosis
- 1 February 1982
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Computers
- Vol. C-31 (2) , 164-170
- https://doi.org/10.1109/tc.1982.1675963
Abstract
In this correspondence we consider the problem of the construction of efficient sequential fault location experiments for permanent faults. The construction of optimum sequential experiments is an NP-complete problem and, therefore, a heuristic approach for the design of near-optimum sequential experiments is considered. The approach is based on information theoretic concepts and the suggested algorithm for the construction of near-optimum sequential fault location experiments is systematic, has a sound theoretical justification, and yet has low design complexity.Keywords
This publication has 12 references indexed in Scilit:
- Sequential Fault Diagnosis in Combinational NetworksIEEE Transactions on Computers, 1977
- Constructing optimal binary decision trees is NP-completeInformation Processing Letters, 1976
- Fault Diagnosis in Combinational Tree NetworksIEEE Transactions on Computers, 1975
- Information theory applied to the conversion of decision tables to computer programsCommunications of the ACM, 1973
- A New Approach to the Fault Location of Combinational CircuitsIEEE Transactions on Computers, 1972
- Fault Testing and Diagnosis in Combinational Digital CircuitsIEEE Transactions on Computers, 1968
- A distinguishability criterion for selecting efficient diagnostic testsPublished by Association for Computing Machinery (ACM) ,1968
- On an Improved Diagnosis ProgramIEEE Transactions on Electronic Computers, 1965
- A Measure of Efficiency of Diagnostic Tests Upon Sequential LogicIEEE Transactions on Electronic Computers, 1964
- Diagnosis of Equipment FailuresIRE Transactions on Reliability and Quality Control, 1960