The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 07, 2025

Filed:

Dec. 11, 2020
Applicants:

Commissariat a L'energie Atomique ET Aux Energies Alternatives, Paris, FR;

Alstom Holdings, Saint-Ouen-sur-Seine, FR;

Inventors:

Julien Albertini, Paris, FR;

Bastien Chapuis, Tresserve, FR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 29/07 (2006.01); G01N 29/04 (2006.01); G01N 29/44 (2006.01); G08B 21/18 (2006.01);
U.S. Cl.
CPC ...
G01N 29/07 (2013.01); G01N 29/043 (2013.01); G01N 29/4445 (2013.01); G08B 21/18 (2013.01); G01N 2291/0234 (2013.01); G01N 2291/0289 (2013.01); G01N 2291/105 (2013.01); G01N 2291/2623 (2013.01);
Abstract

Methods and devices for detecting a defect in a rail of a railway track, include at least two sensors selected from among magneto-acoustic and/or piezoelectric and/or magnetostrictive transducers; each sensor being associated with a timestamping circuit of a GNSS satellite positioning system; a measuring circuit for measuring, by way of the sensors, the acousto-elastic waves propagating in the rail, the wave or signal measurements being timestamped. Some developments describe notably active and passive modes; the use of train crossings; the emission of waves; the determination of the existence and then of the position and finally the characterization of the defect, where applicable; preferred placements for installing the sensors; the use of inter-correlation, passive inverse filter or correlation of coda of correlation methods; the use of mobile robots and/or drones; the use of artificial noise sources.


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