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:
Dec. 31, 2013

Filed:

Aug. 10, 2005
Applicants:

Joydeb Mukherjee, Bangalore, IN;

Venkataramana B. Kini, Bangalore, IN;

Sunil K. Menon, Golden Valley, MN (US);

Inventors:

Joydeb Mukherjee, Bangalore, IN;

Venkataramana B. Kini, Bangalore, IN;

Sunil K. Menon, Golden Valley, MN (US);

Assignee:

Honeywell International Inc., Morristown, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01M 15/14 (2006.01); G06F 17/16 (2006.01); G06F 17/17 (2006.01);
U.S. Cl.
CPC ...
G01M 15/14 (2013.01); G06F 17/16 (2013.01); G06F 17/175 (2013.01);
Abstract

An improved fault detection system and method is provided. The fault detection system and method combines the use of discrimination and representation based feature extraction to reliably detect symptoms of faults in turbine engines. Specifically, the fault detection system and method uses a kernel-based Maximum Representation Discrimination Features (MRDF) technique to detect symptoms of fault in turbine engines. The kernel-based MRDF system and method combines the use of discriminatory features and representation features in historical sensor data to facilitate feature extraction and classification of new sensor data as indicative fault in the turbine engine. Furthermore, the kernel-based MRDF technique facilitates the uncovering of nonlinear features in the sensor data, thus improving the reliability of the fault detection.


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