Described herein is a fast and high-fidelity fault model of PMSM which can describe the dynamic performance of motors accurately, using an equivalent resistance simulation method to simulate the number of short turns of stator winding with the help of an established motor model and the given relationship between the value of the resistance and the number of short turns of stator winding, fault diagnosis and prognosis of the experimental motor is conducted based on the Hilbert transform method under a Riemann/Lebesgue sampling framework, which results in low computation and small uncertainty accumulation.

An industrial asset item definition data store may contain at least one electronic record defining the industrial asset item. An automated support structure creation platform may include a support structure optimization computer processor. The automated support structure optimization computer processor may be adapted to automatically create support structure geometry data associated with an additive printing process for the industrial asset item. The creation may be performed via an iterative loop between a build process simulation engine and a topology optimization engine.

A global computer aided engineering (CAE) model representing an electronic product that contains solder joints and an individual detailed solder joint model are received. The solder joint model can include a solder ball, one or more metal pads, a portion of printed circuit board, and a portion of semiconductor chip component. The global CAE model includes locations of the solder joints to be evaluated in a drop test simulation. The solder joint model is replicated at each location to create a local CAE model via a geometric relationship between the global CAE model and the local CAE model. Simulated physical behaviors of the product under a design condition are obtained in a co-simulation using the global CAE model in a first time scale and the local CAE model in a second time scale. Simulated physical behaviors are periodically synchronized based on kinematic and force constraints.

Systems and methods of generating a threat model from a code file are defined. The system includes one or more data stores communicatively coupled with a processor, and storing information on a plurality of properties to be configured for one or more resources included in the code file and a plurality of security threats associated with one or more values of the plurality of properties. The system analyzes the code file to identify one or more properties associated with the one or more resources included in the code file. For each property, a value for the property defined in the code file is identified, one or more security threats are determined based on the identified value for the property, using the information stored in the data stores. The system generates a threat model for the one or more resources based on the determined one or more security threats.

A reliability evaluation method and system for a microgrid inverter IGBT based on segmented long short-term memory (LSTM) is disclosed, including steps as follows. An electrothermal coupling model is constructed to obtain real-time junction temperature data. The original LSTM algorithm is improved to obtain a segmented LSTM prediction network for the aging characteristics of the IGBT. The monitoring value of the IGBT aging parameter is used to perform segmented LSTM prediction to obtain the predicted aging process, and the threshold values of different aging stages are categorized. An aging correction is performed on the aging parameter of the electrothermal coupling model to ensure the accuracy of the junction temperature data. Rainflow-counting algorithm is used to calculate real-time thermal stress load distribution of the IGBT. The fatigue damage theory and the Lesit life prediction model are combined to calculate the real-time cumulative damage and predicted life of the IGBT.

A method is disclosed herein. In various embodiments, the method comprises: coupling a sheath to an airfoil of an integrally bladed rotor, the sheath comprising a plurality of apertures disposed therein; and coupling a plurality of locators to the integrally bladed rotor, each locator in the plurality of locators disposed through a corresponding aperture in the plurality of apertures.

A method includes receiving measurement data from multiple sensors positioned along a delivery line that delivers a liquid as a gas to one of a gas panel or a processing chamber; simulating, using a computer-generated model, one or more process parameters associated with the delivery line and a plurality of heater jackets positioned around the delivery line; comparing the measurement data with values of the one or more process parameters; and determining, based on at least a threshold deviation between the measurement data and the values of the one or more process parameters, that a fault exists that is associated with maintaining temperature within the delivery line consistent with a gaseous state of the liquid.

A simulation-based optimization framework determines the sizing of components of an analog circuit to meet target design specifications while also satisfying the robustness specifications set by the designer. The robustness is guaranteed by setting a limit on the standard deviations of the variations in the performance parameters of a circuit across all process and temperature corners of interest Classifier chains are used that, in addition to modeling the relationship between inputs and outputs, learn the relationships among output labels. Additional design knowledge is inferred from the optimal ordering of the classifier chain.

Some embodiments relate to systems and methods for analyzing an electrical network. For example, a system for analyzing an electrical network may include a memory and a processor, coupled to the memory. The processor is configured to execute instructions from the memory causing the processor to: perform power system studies to improve system reliability and security using historical data of past power system operations, derive a data model of the power system using artificial intelligence, and using the data model and training with the power system analysis data to conduct analyses for predicting at least one of system behavior and forecasting applications, and report the at least one of system behavior and forecasting applications.

A method of simulating defects in an analog circuit design includes, in part, defining a multitude of defect models, defining a defect scope associated with the defect models, and compiling, by a processor, the defect models, the defect scope, and a netlist associated with the analog circuit design. The method further includes, in part, scanning the netlist to identify a multitude of nodes to which a multitude of defects defined by the defect models and the defect scope are applied, injecting the multitude of defects at the identified nodes, and simulating the analog circuit design using the injected defects.