Abstract: A differentiable physics model of a building is used that defines thermodynamic relationships between zones of the building and a heating, ventilation, and air-conditioning (HVAC) system. A physics-constrained, data driven model learns behaviors of controlled components of the HVAC system. For each of a series of times during online operation of the HVAC system, past state values are recorded representing a performance of the HVAC system in the building and past inputs to the HVAC system to maintain the states. The past state values and the past inputs are input into the differentiable physics model and the data driven model to: jointly update first parameters of the differentiable physics model and second parameters of the data driven model, e.g., using moving horizon estimation; and determine a current input to the controlled components, e.g., using model predictive control.

Abstract: A system for evaluating a high voltage asset (HV asset) comprises a PD detector disposed in the HV asset. The PD detector comprises an electrical coupler configured to couple electrical disturbances indicative of a partial discharge from a high voltage conductor of the HV asset to an electrical-to-optical converter. The electrical-to-optical converter comprises a light emitter, and is configured to convert the electrical disturbances to a light signal. An optical power receiver is disposed in the high voltage asset and coupled to the PD detector. The optical power receiver is configured to receive optical power from an external optical power source via a non-conducting optical fiber arrangement. The electrical-to-optical converter is configured to communicate the light signal indicative of the partial discharge to an electronic device external of high voltage asset via the non-conducting optical fiber arrangement.

Abstract: A system and method for modeling, parameter estimation and adaptive control of building heating, ventilation and air conditioning (HVAC) system in built environments with the aid of a digital computer are provided. The system and method disclosed address many of the shortcomings of existing technology. Given metadata regarding a building, such as floor plan and room dimensions, and time series of environmental conditions within the building or associated with the HVAC system within the building, the system and method initializes a base model using the geometric data, the time series, and HVAC system information. Model parameters are iteratively estimated to fit the observed variables using Moving Horizon Estimation (MHE). The updated model is then used for MPC-based (receding horizon control) energy-efficient and comfort-oriented control of the building environment.

Abstract: A heating, ventilation, and air conditioning (HVAC) control system is provided. The system includes one or more sources of controlled air, a network of portable sensors that are configured to measure one or more parameters of an environment, one or more environmental condition controllers that are configured to operate the one or more sources of controlled air, and a computing device, including a processor and memory. The memory stores programming instructions that are configured to, when executed, cause the processor to generate an initial lumped-element model of the environment, update the initial lumped-element model using the one or more parameters of the environment to generate an adapted lumped-element model of the environment, and cause the one or more environmental condition controllers to adjust an output of the one or more sources of controlled air based on the adapted lumped-element model.

Abstract: A system and method for determining HVAC set points are provided. A present season is determined. An allowable temperature comfort range for each occupant in a room in a space is also determined. For each room, an energy saving set point temperature is calculated for the space based on the allowable temperature comfort range for that room. A set point temperature for the space is determined based on the energy saving set point temperatures for each of the rooms in the space. The set point temperature is provided to a thermostat or HVAC system to regulate temperature in the building.

Abstract: A system for evaluating a high voltage asset (HV asset) comprises a PD detector disposed in the HV asset. The PD detector comprises an electrical coupler configured to couple electrical disturbances indicative of a partial discharge from a high voltage conductor of the HV asset to an electrical-to-optical converter. The electrical-to-optical converter comprises a light emitter, and is configured to convert the electrical disturbances to a light signal. An optical power receiver is disposed in the high voltage asset and coupled to the PD detector. The optical power receiver is configured to receive optical power from an external optical power source via a non-conducting optical fiber arrangement. The electrical-to-optical converter is configured to communicate the light signal indicative of the partial discharge to an electronic device external of high voltage asset via the non-conducting optical fiber arrangement.

Abstract: Methods and systems for modeling physical systems may use a hybrid approach for surrogate modeling that incorporates both modeling based on physical principles and fitting to data. For example, a method for developing a reduced-order models (ROM) of a physical system may comprise: defining a quantity of interest (QoI) for the physical system; defining a lumped-parameter surrogate (LPS) of the physical system based on physical principles; deriving a topology from the LPS; deriving a governing equation of the ROM from the topology, wherein the governing equation has unknown parameters; collecting data about the QoI of the physical system; and fitting the governing equation based on the data to derive values for the unknown parameters and yield the ROM, wherein the ROM approximates the QoI.

Abstract: A monitoring system includes an array of optical sensors disposed within a transformer tank. Each optical sensor is configured to have an optical output that changes in response to a temperature within the transformer tank. An analyzer is coupled to the array of optical sensors. The analyzer is configured to determine a sensed temperature distribution based on the sensed temperature. The sensed temperature distribution is compared to an expected distribution. Exterior contamination of the transformer tank is detected based on the comparison.

Abstract: A system and method are provided for determining a causal inference in a manufacturing process. During operation, the system can receive data associated with a processing system which includes a set of interconnected machines and an associated set of processes. The system can generate, based on the data, a graph indicating flows of outputs between the machines as part of the processes. The system can determine, based on a set of variables, one or more candidate clusters in the graph. The system can perform, based on one or more variables of interest, root cause analysis on the one or more candidate clusters by: applying an additive noise model to prune the one or more candidate clusters from the graph; and determining, based on the pruned graph, a candidate pathway likely to cause an issue in at least one process, thereby facilitating improved efficiency in the processing system.

Abstract: A system is provided for determining causes of faults in a manufacturing system. The system stores data associated with a processing system which includes machines and associated processes, wherein the data includes timestamp information, machine status information, and product-batch information. The system determines, based on the data, a topology of the processing system, wherein the topology indicates flows of outputs between the machines as part of the processes. The system determines information of machine faults in association with the topology. The system generates, based on the machine-fault information, one or more fault parameters which indicates frequency and severity of a respective fault. The system constructs, based on the topology and the machine-fault information, a system model which includes the one or more fault parameters, thereby facilitating diagnosis of the processing system.

Abstract: A monitoring system includes an array of optical sensors disposed within a transformer tank. Each optical sensor is configured to have an optical output that changes in response to a temperature within the transformer tank. An analyzer is coupled to the array of optical sensors. The analyzer is configured to determine a sensed temperature distribution based on the sensed temperature. The sensed temperature distribution is compared to an expected distribution. Exterior contamination of the transformer tank is detected based on the comparison.

Abstract: A system and method are provided for determining a causal inference in a manufacturing process. During operation, the system can receive data associated with a processing system which includes a set of interconnected machines and an associated set of processes. The system can generate, based on the data, a graph indicating flows of outputs between the machines as part of the processes. The system can determine, based on a set of variables, one or more candidate clusters in the graph. The system can perform, based on one or more variables of interest, root cause analysis on the one or more candidate clusters by: applying an additive noise model to prune the one or more candidate clusters from the graph; and determining, based on the pruned graph, a candidate pathway likely to cause an issue in at least one process, thereby facilitating improved efficiency in the processing system.

Abstract: A system is provided for determining a manufacturing network topology and fault propagation information. During operation, the system stores data associated with a processing system which includes machines and associated processes, wherein the data includes timestamp information, machine status information, and product-batch information. The system determines, based on the data, a network topology which corresponds to the processing system, wherein the network topology indicates flows of outputs between the machines as part of the processes. The system determines utilization information of a plurality of the machines of the processing system. The system displays one or more of the flows of outputs based on the utilization information, thereby facilitating diagnosis of the processing system.

Abstract: A system is provided for determining causes of faults in a manufacturing system. The system stores data associated with a processing system which includes machines and associated processes, wherein the data includes timestamp information, machine status information, and product-batch information. The system determines, based on the data, a topology of the processing system, wherein the topology indicates flows of outputs between the machines as part of the processes. The system determines information of machine faults in association with the topology. The system generates, based on the machine-fault information, one or more fault parameters which indicates frequency and severity of a respective fault. The system constructs, based on the topology and the machine-fault information, a system model which includes the one or more fault parameters, thereby facilitating diagnosis of the processing system.

Abstract: A monitoring system includes an array of optical sensors disposed within a transformer tank. Each optical sensor is configured to have an optical output that changes in response to a temperature within the transformer tank. An analyzer is coupled to the array of optical sensors. The analyzer is configured to determine a sensed temperature distribution based on the sensed temperature. The sensed temperature distribution is compared to an expected distribution. Exterior contamination of the transformer tank is detected based on the comparison.

Abstract: A monitoring system includes an array of optical sensors disposed within a transformer tank. Each optical sensor is configured to have an optical output that changes in response to a temperature within the transformer tank. An analyzer is coupled to the array of optical sensors. The analyzer is configured to determine a sensed temperature distribution based on the sensed temperature. The sensed temperature distribution is compared to an expected distribution. Exterior contamination of the transformer tank is detected based on the comparison.