Abstract: Systems and methods are disclosed for performing fault detection and prediction for power electronics and switching devices for power electronics, such as power inverters. Systems and methods disclosed herein can include determining, by a partial least squares model that evaluates values for one or more switching parameters for a switching device, the one or more switching parameters selected from a first set of switching parameters, a predicted value for the on-state current Ids of the switching device. The predicted value for the on-state current Ids can be based on the values of the one or more switching parameters for the switching device. Systems and methods disclosed herein can determine a residual comprising the difference between the predicted value for the another switching parameter of the switching device and an actual value of the predicted value for the another switching parameter, and generate a test statistic based on the residual.

Abstract: An apparatus for controlling an electrical current flow between a first device and a second device includes a first semiconductor switch having a first conduction terminal and a second semiconductor switch having a first conduction terminal coupled to the first conduction terminal of the first semiconductor switch. The apparatus also includes a first snubber circuit coupled to a second conduction terminal of the first semiconductor switch and a second snubber circuit coupled to a second conduction terminal of the second semiconductor switch, wherein the first snubber circuit is adapted to couple with the first device and the second snubber circuit is adapted to couple with the second device.

Abstract: A scent generator includes a supply chamber configured for receiving a volume of an olfactory stimulant, the supply chamber including an electrically conductive foam configured to volatilize a portion of the olfactory stimulant; and a power supply configured to provide an electrical signal to the electrically conductive foam and cause the olfactory stimulant to volatilize and be ejected from the supply chamber. A pest trap using the scent generator and a computer program product for controlling the scent generator are disclosed.

Abstract: Systems, methods, computer-readable media, techniques, and methodologies are disclosed for performing fault detection and prediction for power electronics and switching devices for power electronics. Systems and methods can determine, using a machine learning model, a prediction for a value of a first switching parameter of a switching device, the prediction based on the present value of a second switching parameter of a switching device and a prior value of the first switching parameter. Systems and methods disclosed herein can further determine a residual comprising the difference between the prediction and an actual value of the switching parameter, generate a test statistic based on the residual, and compare the test statistic to a first threshold value. Systems and methods disclosed herein can determine the presence of a fault in the switching device based on a comparison of the test statistic to a threshold value.

Abstract: Systems and methods are disclosed for performing fault detection and prediction for power electronics and switching devices for power electronics, such as power inverters. Systems and methods disclosed herein can include determining, by a partial least squares model that evaluates values for one or more switching parameters for a switching device, the one or more switching parameters selected from a first set of switching parameters, a predicted value for the on-state current Ids of the switching device. The predicted value for the on-state current Ids can be based on the values of the one or more switching parameters for the switching device. Systems and methods disclosed herein can determine a residual comprising the difference between the predicted value for the another switching parameter of the switching device and an actual value of the predicted value for the another switching parameter, and generate a test statistic based on the residual.

Abstract: A method, system, and non-transitory computer readable medium describing an autoencoder that creates a reduced feature space from healthy power electronics devices for training. Devices under test are then encoded and compared to the encoded features of the healthy devices to determine health of the other devices. Contextual information is used to build multiple models that compare power electronics devices from similarly operated vehicles with one another.

Abstract: A method, system, and non-transitory computer readable medium describing an autoencoder that creates a reduced feature space from healthy power electronics devices for training. Devices under test are then encoded and compared to the encoded features of the healthy devices to determine health of the other devices. Contextual information is used to build multiple models that compare power electronics devices from similarly operated vehicles with one another.

Abstract: Methods and systems of optimizing efficiency of a motor drive or generator are provided. The methods include measuring data corresponding to input power and output power of a motor drive or generator at a control parameter and different load values. The methods include generating a three-dimensional surface model based on the measured data. The three-dimensional surface model can estimate an efficiency of the motor drive or generator at the control parameter and at unmeasured load values. The methods can include determining optimal efficiency of the motor drive or generator at the different load values and the unmeasured load values based on the three-dimensional surface model.

Abstract: Methods and systems of optimizing efficiency of a motor drive or generator are provided. The methods include measuring data corresponding to input power and output power of a motor drive or generator at a control parameter and different load values. The methods include generating a three-dimensional surface model based on the measured data. The three-dimensional surface model can estimate an efficiency of the motor drive or generator at the control parameter and at unmeasured load values. The methods can include determining optimal efficiency of the motor drive or generator at the different load values and the unmeasured load values based on the three-dimensional surface model.

Abstract: Exemplary embodiments of flyback converters are provided. The flyback converters include a voltage input, a flyback transformer including a primary winding circuitry, and first and second secondary winding circuitries. The flyback transformer can be electrically connected to the voltage input. The first and second secondary winding circuitries can be electrically connected to the flyback transformer. The first secondary winding circuitry can be a DC output circuit. The second secondary winding circuitry can be an AC output circuit. Exemplary embodiments of methods and systems of power conversion are also provided.