DESIGN OF INTELLIGENT RESILIENT STRUCTURES VIA AUTOMATIC PLACEMENT OF SENSOR AND SMART ACTUATORS

    公开(公告)号:US20240273245A1

    公开(公告)日:2024-08-15

    申请号:US18168011

    申请日:2023-02-13

    IPC分类号: G06F30/10

    CPC分类号: G06F30/10 G06F2119/02

    摘要: An innovative method to automatically place sensors and stimuli-sensitive active actuators to neutralize the effects of structural faults and design a smart fault-resilient system is described. To the best of our knowledge, the proposed framework is the first systematic integration of thermally activated shape memory polymer actuators with a sensor distribution framework targeted to bring a damaged structural system to its native state. The framework does not explicitly model the material constitutive model and hence can be applied to linear and nonlinear material behaviors. The approach enables the design of resilient smart structures that can be additively manufactured. The framework computes a matrix of relative importance for different sensor positions and uses that to optimally place actuators to reconfigure the system in presence of faults.

    PREDICTION OF REMAINING USEFUL LIFE OF AN ASSET USING CONFORMAL MATHEMATICAL FILTERING

    公开(公告)号:US20240264590A1

    公开(公告)日:2024-08-08

    申请号:US18105317

    申请日:2023-02-03

    IPC分类号: G05B23/02

    CPC分类号: G05B23/0283 G05B23/0254

    摘要: A system determines that an asset of an engineering system has transitioned from a quasi-steady degradation stage to an accelerated degradation phase based on sensor measurements received from an asset. During the accelerated degradation phase, features are extracted from the sensor measurements that are indicative of wear of the asset. A conformal mathematical filter is applied to the features that causes the features to conform to a wear curve formulation associated with the asset. An output of the filter is resampled to form a noise-reduced signal. The noise-reduced signal is input into a sequence machine learning model. A loss function of the sequence machine learning model uses an increased penalty to overprediction and a relaxed penalty for underprediction. An output of the sequence machine learning model is used to predict a remaining useful life (RUL) of the asset.

    MODELING OF LIQUID-GAS MENISCUS DYNAMICS FOR ARBITRARY NOZZLE GEOMETRIES

    公开(公告)号:US20240211655A1

    公开(公告)日:2024-06-27

    申请号:US18086348

    申请日:2022-12-21

    IPC分类号: G06F30/23

    CPC分类号: G06F30/23 G06F2113/10

    摘要: Techniques for determining a damping rate of unforced oscillations of a meniscus are disclosed. An example method includes receiving input describing a shape of a container, physical parameters of a liquid inside the container, and an equilibrium shape of the meniscus. The method also includes generating a mesh conforming to the shape of the container and generating a discrete version of a continuous eigenvalue problem based on this mesh. The method also includes computing, at appropriate mesh nodes, values for pressure, velocity components, and meniscus surface deformation corresponding to a suitable number of least-damped late-time oscillation modes of the liquid and computing an angular frequency and damping rate of these least-damped late-time oscillation modes from the discrete version of the continuous eigenvalue problem. The method also includes identifying the mode that has the lowest damping rate and computing a liquid relaxation time by inverting the damping rate of the identified mode.

    REMAINING USEFUL LIFE ESTIMATION USING HYBRID PHYSICS-MACHINE LEARNING REASONING

    公开(公告)号:US20240210934A1

    公开(公告)日:2024-06-27

    申请号:US18086325

    申请日:2022-12-21

    IPC分类号: G05B23/02 G06N3/0985

    CPC分类号: G05B23/0283 G06N3/0985

    摘要: Condition-monitoring data of an engineering system is received at a computing system. The condition-monitoring data is input to a hybrid model that includes a machine learning model empowered with physics-informed transfer functions on the computing system. The machine learning model outputting a prediction of health variables of the engineering system as intermediate variables. These variables are transformed via mathematically parametrized transfer functions on the computing system. A remaining useful life of the engineering system is estimated based on the transformation outputs. The remaining useful life is used to perform a remedial action on the engineering system.

    METHOD AND SYSTEM FOR AUTOMATICALLY CREATING A PLAN FOR HYBRID MANUFACTURING

    公开(公告)号:US20240201665A1

    公开(公告)日:2024-06-20

    申请号:US18081086

    申请日:2022-12-14

    IPC分类号: G05B19/418

    摘要: An approach to automating hybrid manufacturing is provided. This approach first splits an item of manufacture into irreducible pieces called atoms, then extracts constraints between the atoms, and then uses a planner to find the best way to assemble the atoms into the item of manufacture given the constraints. The approach splits the item into atoms based on various properties such as the presence or absence of support, the need for scaffolding, tool reachability constraints, and the presence of cycles of dependencies which prevent the item from being manufactured.

    SYSTEM AND METHOD FOR ESTIMATING ERRORS IN A SENSOR NETWORK IMPLEMENTING HIGH FREQUENCY (HF) COMMUNICATION CHANNELS

    公开(公告)号:US20240195524A1

    公开(公告)日:2024-06-13

    申请号:US18077108

    申请日:2022-12-07

    发明人: Ion Matei Raman Goyal

    IPC分类号: H04L1/00

    CPC分类号: H04L1/0036

    摘要: One embodiment can provide a method and system for estimating a remote quantity of interest (QoI). During operation, the system can receive, over a communication channel, a radio frequency (RF) signal carrying an estimate of the QoI measured by a sensor. The system can estimate probability distributions of a set of random channel parameters associated with the HF communication channel. The system can further reconstruct the estimate based on the probability distributions of the channel parameters and the received RF signal, determine a level of uncertainty associated with the reconstructed estimate, and combine reconstructed estimates from multiple sensors based on the determined level of uncertainty associated with each reconstructed estimate to output a combined estimate of the QoI.

    GATE-TUNABLE ENTANGLED PHOTON PAIR GENERATION

    公开(公告)号:US20240118586A1

    公开(公告)日:2024-04-11

    申请号:US18045189

    申请日:2022-10-10

    IPC分类号: G02F1/39 G02F1/35

    CPC分类号: G02F1/395 G02F1/3548

    摘要: An electro-optical modulating device and method that provides efficient control of the nonlinear propagation constant in an optical waveguide are featured. The electro-optical modulating device provides large wavelength tunability of the generated entangled photon pairs in real-time by using an applied external bias voltage. The electro-optical modulating device uses gate-tunable material at locations near the optical waveguide. The application of an external bias voltage creates a variable field-effect which in turn varies the optical dielectric properties of the waveguide. The result is a compact active, highly efficient wavelength-tunable integrated quantum photonic device for tunable entangled photon pair generation using an external bias voltage.

    METHOD AND ARCHITECTURE FOR PROVIDING INTEGRATED DESIGN OF CYBER-PHYSICAL SYSTEM WITH WATERMARKING

    公开(公告)号:US20240080325A1

    公开(公告)日:2024-03-07

    申请号:US17939577

    申请日:2022-09-07

    IPC分类号: H04L9/40

    摘要: Embodiments described herein provide a design architecture for co-designing a controller and a watermarking signal for a cyber-physical system. During operation, the architecture can determine, in conjunction with each other, respective values of a first set of parameters indicating operations of the controller and a second set of parameters representing the watermarking signal. Here, the watermarking signal is combinable with a control signal from the controller for monitoring an output signal of the cyber-physical system for detecting malicious data at different time instances. Subsequently, the architecture can determine a state manager for determining the states of the cyber-physical system from the monitored output signal based on the first and second sets of parameters. The architecture can also determine a detector capable of identifying presence of an attack from the states of the cyber-physical system at a plurality of time instances using the watermarking signal.