A Geometric Interpretation of Diagnostic Data from a Digital Machine: Based on a Study of the Morris, Illinois Electronic Central Office Illinois Electronic Central Office

Autor:	R. E. Hart, J. B. Kruskal
Rok vydání:	1966
Předmět:	Interpretation (logic) Computer science business.industry Euclidean geometry General Engineering Diagnostic data Hardware_PERFORMANCEANDRELIABILITY Data mining Artificial intelligence Space (commercial competition) computer.software_genre business computer
Zdroj:	Bell System Technical Journal. 45:1299-1338
ISSN:	0005-8580
DOI:	10.1002/j.1538-7305.1966.tb01699.x
Popis:	Using the diagnostic data collected for the Morris Central Control malfunction dictionary, we devise a natural concept of “distances” between malfunctions. Ten thousand malfunctions were placed as points in six-dimensional space in such a way that the Euclidean interpoint distances approximately equaled the diagnostic “distances“. The remarkable fact that this is possible has many implications. By finding circuit characteristics common to a cluster of neighboring malfunctions, we are able to associate these characteristics with the region of the six-dimensional space which holds these malfunctions. By this means, we characterize various regions of space according to functional troubles. This suggests a technique for locating malfunctions and also suggests some longer-range possibilities.
Databáze:	OpenAIRE
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