Abstract: A method for estimating future risk of failure of a component of an industrial asset. The method includes receiving a plurality of different types of data associated with the industrial asset or a fleet of industrial assets. The plurality of different types of data includes, at least, reliability data (such as time-to-event data). The method also includes generating a failure prediction model for the component based on the reliability data and available time-series measurements. Further, the method includes applying the failure prediction model to the different types of data based on the types of data available in the received data. The applied failure prediction model includes one of a default model, a conditional survival model, or a joint conditional survival model. Thus, the method includes estimating, via the failure prediction model, the future risk of failure of the industrial asset and implementing a control action as needed.

Abstract: A system and method are provided for operating a power generating asset. Accordingly, a plurality of operational data sets are received by a controller. The operational data sets include at least one indication of a performance anomaly. A plurality of predictive models are implemented by the controller to determine a plurality of potential root causes of the performance anomaly and a plurality of corresponding probabilities for each of the potential root causes. A consolidation model is generated for classifying the plurality of potential root causes and corresponding probabilities. The consolidation model is trained via a training data set to correlate the plurality of potential root causes to an actual root cause for the performance anomaly. The consolidation model is implemented by the controller to determine the actual root cause of the performance anomaly based on the plurality of potential root causes and corresponding probabilities.

Abstract: A method for assessing or validating wind turbine or wind farm performance produced by one or more upgrades is provided. Measurements of operating data from wind turbines in a wind farm are obtained. Baseline models of performance are generated, and each of the baseline models is developed from a different portion of the operating data. A generating step filters the wind turbines so that they are in a balanced randomized state. An optimal baseline model of performance is selected from the baseline models and the optimal baseline model includes direction. The optimal baseline model of performance and an actual performance of the wind farm or wind turbine is compared. The comparing step determines a difference between an optimal baseline model of power output and an actual power output of the wind farm/turbine. The difference is reflective of a change in the power output produced by the upgrades.

Abstract: A method for assessing or validating wind turbine or wind farm performance produced by one or more upgrades is provided. Measurements of operating data from wind turbines in a wind farm are obtained. Baseline models of performance are generated, and each of the baseline models is developed from a different portion of the operating data. A generating step filters the wind turbines so that they are in a balanced randomized state. An optimal baseline model of performance is selected from the baseline models and the optimal baseline model includes direction. The optimal baseline model of performance and an actual performance of the wind farm or wind turbine is compared. The comparing step determines a difference between an optimal baseline model of power output and an actual power output of the wind farm/turbine. The difference is reflective of a change in the power output produced by the upgrades.

Abstract: What is disclosed is a system and method for estimating a vector of skin parameters from in-vivo color measurements obtained from a video. In one embodiment, a video of exposed skin is received which comprises a plurality of time-sequential image frames acquired over time t. A vector of in-vivo color measurements is obtained on a per-frame basis from at least one imaging channel of a video imaging device used to capture the video. In a manner more fully disclosed herein, an intermediate vector of estimated skin parameters is determined based on an initial vector of estimated skin parameters and the in-vivo color measurements of all image frames averaged over time t. A final vector of estimated skin parameters is then determined for each image frame of the video based on the intermediate vector. The temporally successive final vectors are used to predict changes in time-varying skin parameters for the subject.

Abstract: This disclosure provides spot color control methods, apparatus and systems. According to one exemplary embodiment, disclosed is a method of generating device dependent color recipes for a plurality of printing devices. The method includes generating a first device dependent recipe for a target color for rendering on a first printing device, and generating a second device dependent recipe for the target color for rendering on a second printing device, whereby the second device dependent recipe is a function of the first device dependent color recipe.

Abstract: What is disclosed is a method for profile LUT construction which uses a cost function to provide improvements to one or more image quality attributes present in printed images while imposing constraints in terms of color accuracy and spectral response to achieve a color match under various illuminants. Image quality attributes are selected. A reference profile is selected. For each node, candidate recipes are found which reproduce L*a*b* colors within a threshold em. Recipes are pruned to a subset containing recipes where a spectral difference between a predicted spectra corresponding to N color levels and a reference reflectance spectra corresponding to a spectra of a recipe produced by the reference profile, is less than a threshold. A cost function is computed and a recipe identified which minimizes the cost for this node. The process repeats for all nodes to produce a new profile LUT.

Abstract: What is disclosed is a method for determining a color solution which achieves color objectives for a color marking device involves performing the following. In one embodiment, N objectives of interest are identified for a color marking device and a N-dimensional Pareto Front is constructed which comprises a collection of color solutions which accommodates those objectives. The Pareto Front is constructed using an optimization process based upon printer models of the objectives. Color solutions can be at least one color recipe, or a combination of color recipes and process actuators. A target point is selected in an N-dimensional objective space based upon at least one user-selected preference. The target point is then mapped to a point on the Pareto Front. The mapping identifies one of the color solutions which, in turn, is used to generate a spot color for the device. The generated spot color achieves the user-selected preference.

Abstract: What is disclosed is a system and method for estimating a biological parameter vector for a biophysics model using reflectance measurements obtained from a reflectance-based spectral measurement system. The present method uses a semi-empirical biophysics model to describe skin properties and estimate reflectance spectra and reduces the dimensionality of the estimated and measured reflectance spectra using basis vectors for computational efficiency. A mixture of algorithms are employed to generate an initial set of parameters which, in turn, are further refined using an iterative control based technique in which the error between the parameters derived from the measured spectra are compared to the parameters calculated from the estimated spectra. These errors are then processed to generate a small delta to the initial set of parameters.

Abstract: What is disclosed is a novel system and method for mapping out-of-gamut colors to a device's gamut to improve image quality in a color document reproduction device involves performing the following. First, an out-of-gamut color xi, which is intended to be mapped to a boundary surface of a color gamut of a color marking device, is selected. A gamut mapping function is also selected. The selected gamut mapping function is intended to be applied to the selected out-of-gamut color point. At least one performance attribute is then selected for the color marking device and a multi-objective cumulative cost JT is determined based upon a combination of costs Jgm and Js. The multi-objective cumulative cost JT is then iteratively driven to a minimum. Once the minimum has been determined, a gamut mapping of the selected out-of-gamut color can then be performed using the minimized multi-objective cumulative cost. Various embodiments are disclosed.

Abstract: What is disclosed is a system and method for image reconstruction using a compressed sensing framework to increase the number of wavelength bands in hyperspectral video systems. The present method utilizes a restricted representation matrix and sampling matrix to reconstruct bands to a very large number without losing information content. Reference multi-band image vectors are created and those vectors are processed in a block-wise form to obtain custom orthonormal representation matrices. A sampling matrix is also constructed offline in the factory. The compressed sensing protocol is applied using a l1-norm optimization (or relaxation) algorithm to reconstruct large number of wavelength bands with each band being interspersed within the band of interest that are not imaged. The teaching hereof leads to very large number of bands without increasing the hardware cost.

Abstract: What is disclosed is a method for profile LUT construction which uses a cost function to provide improvements to one or more image quality attributes present in printed images while imposing constraints in terms of color accuracy and spectral response to achieve a color match under various illuminants. Image quality attributes are selected. A reference profile is selected. For each node, candidate recipes are found which reproduce L*a*b* colors within a threshold em. Recipes are pruned to a subset containing recipes where a spectral difference between a predicted spectra corresponding to N color levels and a reference reflectance spectra corresponding to a spectra of a recipe produced by the reference profile, is less than a threshold. A cost function is computed and a recipe identified which minimizes the cost for this node. The process repeats for all nodes to produce a new profile LUT.

Abstract: What is disclosed is a novel system and method to reduce noise induced by color mixing in a color management system. At least one device color recipe is obtained for a target spot color. The recipe is defined for a color marking device and defines a range of marking device color values for a target L*a*b color value. Next, a minimal value and a maximum value of each color value in the range of color values for said target L*a*b color value are identified. An iterative process of searching is performed until the printed color test patch produces a visually acceptable smoothness while matching color accuracy. This iterative process includes generating at least one additional new device color recipe from color values within the range of color values. At least one of the new device color recipes is selected and provided to the color marking device for rendering.

Abstract: What is disclosed is a novel system and method for obtaining optimum CMYK values for spot colors, with significantly lower computational effort, by using a set of printer profiles with different pre-computed GCR strategies. Various versions are discussed on how to utilize and/or choose among these profiles for each spot color. The present invention is applicable to spot color emulation for CMYK as well as N-color printing, and can be used to optimize one or more image quality attributes, including graininess, mottle, color stability, ink cost, etc. Various embodiments are disclosed.

Abstract: What is disclosed is a method for determining a color solution which achieves color objectives for a color marking device involves performing the following. In one embodiment, N objectives of interest are identified for a color marking device and a N-dimensional Pareto Front is constructed which comprises a collection of color solutions which accommodates those objectives. The Pareto Front is constructed using an optimization process based upon printer models of the objectives. Color solutions can be at least one color recipe, or a combination of color recipes and process actuators. A target point is selected in an N-dimensional objective space based upon at least one user-selected preference. The target point is then mapped to a point on the Pareto Front. The mapping identifies one of the color solutions which, in turn, is used to generate a spot color for the device. The generated spot color achieves the user-selected preference.

Abstract: What is disclosed is a novel system and method for retrieving a gamut mapping for a color device. A ray-based model is derived from a system estimation of either a seed profile or a seed device. The model is hard coded inside a run-time ICC profile creation algorithm. The runtime profile generation code can be optimized for a variety of gamut mapping scenarios. The generated profile is provided to an imaging system wherein out-of-gamut colors are mapped to the color gamut of the host device. The present method provides an accurate way to reproduce colors of images by retrieving the gamut mapping from profiles or from the color device that use destination profiles for rendering images.

Abstract: A method and system of color management for an image marking device. A sensor measures printed hardcopy colors. A first gain, computed by a linear controller based on a linear model, is scheduled for each color node of a sampled color space. For each node where a convergence error exceeds a threshold, a second gain is scheduled by a nonlinear controller. The second gain scheduling includes initializing operational parameters, and performing an iterative procedure. The iterative procedure includes computing gain matrices over a defined projection horizon, evaluating a cost function for each gain matrix, determining the cost function, scheduling a new gain based on selecting a gain matrix having the minimum value of the cost function, and computing new CMYK values based on the new gain. A multidimensional LUT based on the scheduled gain matrices is generated and stored in memory, and a hardcopy output image is generated based on the stored multidimensional LUT.

Abstract: What is disclosed is a system and method for image reconstruction using a compressed sensing framework to increase the number of wavelength bands in hyperspectral video systems. The present method utilizes a restricted representation matrix and sampling matrix to reconstruct bands to a very large number without losing information content. Reference multi-band image vectors are created and those vectors are processed in a block-wise form to obtain custom orthonormal representation matrices. A sampling matrix is also constructed offline in the factory. The compressed sensing protocol is applied using a l1-norm optimization (or relaxation) algorithm to reconstruct large number of wavelength bands with each band being interspersed within the band of interest that are not imaged. The teaching hereof leads to very large number of bands without increasing the hardware cost.

Abstract: What is disclosed is a feedback control based system and method for selecting spot color recipes for improved spot color rendition while simultaneously minimizing a function of image quality attributes formed with states defined as vectors such as L*, a*, b*, mottle, graininess, etc. Color is measured with an in-line spectrophotometer or with a full/partial width array. If the sensor is not available, then a model of the print device is used to optimize the function of image quality attributes. In one example embodiment, a spot color of interest is selected along with a set of image quality attributes to be improved for the spot colors of interest. Set points for process actuators and color recipes of the color marking device are adjusted such that a function of the image quality attributes is minimized when the spot color is rendered on the device. Various workflows are disclosed.

Abstract: What is disclosed is a feedback control based system and method for selecting spot color recipes for improved spot color rendition while simultaneously minimizing a function of image quality attributes formed with states defined as vectors such as L*, a*, b*, mottle, graininess, etc. Color is measured with an in-line spectrophotometer or with a full/partial width array. If the sensor is not available, then a model of the print device is used to optimize the function of image quality attributes. In one example embodiment, a spot color of interest is selected along with a set of image quality attributes to be improved for the spot colors of interest. Set points for process actuators and color recipes of the color marking device are adjusted such that a function of the image quality attributes is minimized when the spot color is rendered on the device. Various workflows are disclosed.