Abstract: In one embodiment, there is provided a method of optimizing image quality and organ dose for computed tomography (CT). The method includes segmenting, by an organ segmentation module, at least one organ based, at least in part, on patient image data. The method further includes determining, by a Monte Carlo dose module, a patient-specific heterogeneous dose based, at least in part, on the patient image data and based, at least in part, on a selected CT scanner data. The method further includes determining, by a patient-specific organ dose module, a patient-specific nominal organ dose for each segmented organ based, at least in part, on the patient-specific heterogeneous dose. The method further includes determining, by an inverse optimization module, at least one CT scanner parameter configured to optimize image quality and a selected patient-specific organ dose of at least one selected organ.

Abstract: A method of improving images is provided. A body of image data is collected and signal to noise (SNR) values thereof are determined. The collected data is converted into an electronic image representation X. Image X comprises a first array of pixel intensity values. Further, a low pass filtered image representation F comprising a second array of pixel intensity values is obtained. An improved electronic image representation P comprising a third array of pixel intensity values is generated by replacing each pixel intensity value of electronic image representation X by a linear combination of the replaced pixel intensity value from image X and the corresponding pixel intensity value from image F. An array of linear combination coefficients &agr;, (1−&agr;) determine the relative contributions of the replaced X pixel intensity value and the value of the corresponding pixel intensity from image F, respectively.

Abstract: A gear transmission monitoring method includes: forming a good operating condition baseline matrix by, for each of a plurality of different gear mesh frequencies, obtaining a good operating condition signal indicative of gear transmission conditions over a segment of time and transforming the obtained good operating condition signal into a good operating condition time-frequency spectrum; and then obtaining a gear mesh frequency and a test signal over a segment of time, transforming the obtained test signal into a test time-frequency spectrum, and using the gear mesh frequency and the good operating condition baseline matrix to examine the test time-frequency spectrum to monitor gear transmission conditions.

Abstract: A method of detecting faults on a power transmission line system includes simultaneously measuring phase current samples at each phase of each transmission terminal; calculating real and imaginary phaselets comprising partial sums of the phase current samples; for each phaselet, calculating a respective partial sum of squares of each phase current sample; calculating the sums of the real and imaginary phaselets over a variable size sliding sample window; calculating real and imaginary phasor components from the phaselets and a sum of the partial sums of the squares over the sample window; using the sums of the real and imaginary phaselets, the real and imaginary phasor components, and the sum of the partial sums of the squares to calculate a sum of squares of errors between the phase current samples and a fitted sine wave representative of the real and imaginary phasor components; using the sum of squares of errors to calculate a variance matrix defining an elliptical uncertainty region; determining whether a

Abstract: A leakage sensor determines a signal representative of a neutral-to-ground leakage current or voltage from the neutral point of an electric machine of an associated electrical system. A processor uses the sensed signal to determine incipient faults in at least one component of the electrical system.

Abstract: A method for removing “grid line artifacts” from x-ray images without changing the diagnostic quality of the x-ray image is presented. The method utilizes the Fourier spectrum of the image to detect the grid line frequencies and employs spectral domain filtering to remove the grid line spectral components. The diagnostic information is preserved by modifying the grid line spectral components to be indistinguishable from local variations in image intensity values, and edge density of the x-ray image.

Abstract: A method of detecting faults on a power transmission line system includes simultaneously measuring phase current samples at each phase of each transmission terminal; calculating real and imaginary phaselets comprising partial sums of the phase current samples; for each phaselet, calculating a respective partial sum of squares of each phase current sample; calculating the sums of the real and imaginary phaselets over a variable size sliding sample window; calculating real and imaginary phasor components from the phaselets and a sum of the partial sums of the squares over the sample window; using the sums of the real and imaginary phaselets, the real and imaginary phasor components, and the sum of the partial sums of the squares to calculate a sum of squares of errors between the phase current samples and a fitted sine wave representative of the real and imaginary phasor components; using the sum of squares of errors to calculate a variance matrix defining an elliptical uncertainty region; determining whether a

Abstract: Statistical methods of partial discharge analysis utilizing histogram similarity measures are provided by quality assessment and condition monitoring methods of evaluating high voltage electrical insulation. The quality assessment method is utilized to evaluate the quality of insulation within the electrical equipment. The condition monitoring method is utilized during normal operation of the equipment to identify degradation in the insulation and to predict catastrophic insulation failures.

Abstract: Statistical methods of partial discharge analysis utilizing histogram similarity measures are provided by quality assessment and condition monitoring methods of evaluating high voltage electrical insulation. The quality assessment method is utilized to evaluate the quality of insulation within the electrical equipment. The condition monitoring method is utilized during normal operation of the equipment to identify degradation in the insulation and to predict catastrophic insulation failures.

Abstract: A method of detecting faults on a power transmission line system includes simultaneously measuring phase current samples at each phase of each transmission terminal; calculating real and imaginary phaselets comprising partial sums of the phase current samples; for each phaselet, calculating a respective partial sum of squares of each phase current sample; calculating the sums of the real and imaginary phaselets over a variable size sliding sample window; calculating real and imaginary phasor components from the phaselets and a sum of the partial sums of the squares over the sample window; using the sums of the real and imaginary phaselets, the real and imaginary phasor components, and the sum of the partial sums of the squares to calculate a sum of squares of errors between the phase current samples and a fitted sine wave representative of the real and imaginary phasor components; using the sum of squares of errors to calculate a variance matrix defining an elliptical uncertainty region; determining whether a

Abstract: During a learning stage a motor current signal is monitored, and estimated motor torque is used to transform the current signal into a time-frequency spectra including a plurality of segments representative of good operating modes. A representative parameter and a respective boundary of each segment is estimated. The current signal is monitored during a test stage to obtain test data, and the test data is compared with the representative parameter and the respective boundary of each respective segment to detect the presence of a fault in a motor. Frequencies at which broken bar faults are likely to occur in a motor can be estimated using the estimated motor torque, and a weighting function can highlight such frequencies during estimation of the parameter. The current signal can be further subdivided into the segments by monitoring sidebands of the frequency components of current spectrum strips of each segment.

Abstract: A motor current signal is monitored during a learning stage and divided into a plurality of statistically homogeneous segments representative of good operating modes. A representative parameter and a respective boundary of each segment is estimated. The current signal is monitored during a test stage to obtain test data, and the test data is compared with the representative parameter and the respective boundary of each respective segment to detect the presence of a fault in a motor. Frequencies at which bearing faults are likely to occur in a motor can be estimated, and a weighting function can highlight such frequencies during estimation of the parameter.