18742520. METHOD FOR CONSTRUCTING A DECISION TREE FOR DIAGNOSING A SYSTEM, METHOD FOR DIAGNOSING THE SYSTEM, DEVICES AND COMPUTER PROGRAMS THEREOF (CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE)

From WikiPatents
Revision as of 07:39, 19 December 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

METHOD FOR CONSTRUCTING A DECISION TREE FOR DIAGNOSING A SYSTEM, METHOD FOR DIAGNOSING THE SYSTEM, DEVICES AND COMPUTER PROGRAMS THEREOF

Organization Name

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE

Inventor(s)

Louis Goupil of Toulouse (FR)

[[:Category:Louise Trav�-massuy�s of Caraman (FR)|Louise Trav�-massuy�s of Caraman (FR)]][[Category:Louise Trav�-massuy�s of Caraman (FR)]]

Élodie Chanthery of Toulouse (FR)

METHOD FOR CONSTRUCTING A DECISION TREE FOR DIAGNOSING A SYSTEM, METHOD FOR DIAGNOSING THE SYSTEM, DEVICES AND COMPUTER PROGRAMS THEREOF

This abstract first appeared for US patent application 18742520 titled 'METHOD FOR CONSTRUCTING A DECISION TREE FOR DIAGNOSING A SYSTEM, METHOD FOR DIAGNOSING THE SYSTEM, DEVICES AND COMPUTER PROGRAMS THEREOF



Original Abstract Submitted

A method and device for constructing a decision tree for diagnosing a system with components. The method includes obtaining a training data set comprising pairs with a vector of measured values of observable variables representing a system operation and a label. The label represents a nominal operating state of the system or a failure state of one component. The method includes processing a current node created by splitting a previous node and associated with a subset of the training data set as a current data set. When a splitting criterion is satisfied, splitting the current node into a first and a second child node by applying a classification function obtained from the current data set and defined to a nominal class representing the nominal operating state of the system or a failure class representing the failure states of the system. The method includes providing a decision tree for system diagnosis.