Siemens Energy, Inc.

Siemens Power Generation, Inc.

Siemens Westinghouse Power Corporation

Siemens Corporate Research, Inc.

Siemens Corporation

Hans-Gerd Johann Brummel

Ming Fang

Chao Yuan

Claus Neubauer

Dennis H Lemieux

Zehra Cataltepe

Michael Twerdochlib

Visvanathan Ramesh

Stephen Price Masticola

William Alexander Landi

Matthias Voigt

Wesley McCorkle

Martin Zarzycki

An optical inspection system is for visually inspecting the blades of a turbine at turning gear operation. The inspection system includes an imager for capturing images of the blades, an optical passage coupled to the imager and structured to provide maximum viewing area of the blades through an inspection port in the turbine and an illuminating assembly adapted to illuminate the blades while the imager captures images thereof. A method wherein the captured blade images are inspected for blade defects, is also disclosed.

Method of visually inspecting turbine blades and optical inspection system therefor

A system for updating a plurality of monitoring models is provided. The system includes a model association module that, for each of a plurality of monitored systems determines, an association between a particular monitored system and at least one of a plurality of estimation models. Each estimation model is based upon one of a plurality of distinct sets of estimation properties, and each set uniquely corresponds to a particular estimation model. The system also includes an updating module that updates at least one of the estimation properties and propagates the updated estimation properties to each estimation model that corresponds to a distinct set containing at least one estimation property that is updated. The system further includes a model modification module that modifies each estimation model that corresponds to a distinct set containing at least one estimation property that is updated.

System, device, and methods for updating system-monitoring models

A system and method for early detection of a failure of a gas turbine engine airfoil (), such as but not restricted to a burn through of the airfoil outer skin (). A sensor () provides a signal () responsive to a condition of fluid flowing through an outer cooling chamber () of the airfoil. A detected change in the condition of the fluid is correlated to a failure of the airfoil, which for example can be detected by measuring the static fluid pressure. An increase in the static pressure of fluid in the outer cooling chamber may indicate a breach in the region of the leading edge of the airfoil. A decrease in the static pressure of fluid in the outer cooling chamber may indicate a breach along other portions of the profile of the airfoil outer skin. Both pressure and temperature parameters of the fluid may be measured and coincident changes thereof correlated to a condition of failure of the airfoil.

Detection of gas turbine airfoil failure

An imaging system () for imaging a scene with a detector array () having an array of imaging elements is provided. The imaging system () includes an image estimation module () for generating a plurality estimates of uncorrupted images based upon a plurality of noisy images generated by the detector array (). The imaging system () further includes a parameter determination module () for determining one or more nonuniformity correction parameters based upon the estimates of uncorrupted images.

System and methods for determining nonuniformity correction parameters in detector-array imaging

A system for generating a sensor model for use in sensor-based monitoring is provided. The system includes a segmenting module for segmenting a collection of sensor vectors into a plurality of bins comprising distinct sensor vectors. The system also includes a set-generating module for generating a set of statistically significant sensor vectors for each bin. The system further includes a consistency determination module for generating at least one consistent set of sensor vectors from the sets of statistically significant sensor vectors. Additionally, the system includes a model-generating module for generating a sensor model based upon the at least one consistent set.

Systems and methods for selecting training data and generating fault models for use in use sensor-based monitoring

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Orlando, FL, United States of America

Hans-Gerd Johann Brummel