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公开(公告)号：US11621668B2
公开(公告)日：2023-04-04
申请号：US16868050
申请日：2020-05-06
摘要： Solar array fault detection, classification, and localization using deep neural nets is provided. A fault-identifying neural network uses a cyber-physical system (CPS) approach to fault detection in photovoltaic (PV) arrays. Customized neural network algorithms are deployed in feedforward neural networks for fault detection and identification from monitoring devices that sense data and actuate each individual module in a PV array. This approach improves efficiency by detecting and classifying a wide variety of faults and commonly occurring conditions (e.g., eight faults/conditions concurrently) that affect power output in utility scale PV arrays.
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公开(公告)号：US20210390413A1
公开(公告)日：2021-12-16
申请号：US17348410
申请日：2021-06-15
摘要： Dropout and pruned neural networks for fault classification in photovoltaic (PV) arrays are provided. Automatic detection of solar array faults leads to reduced maintenance costs and increased efficiencies. Embodiments described herein address the problem of fault detection, localization, and classification in utility-scale PV arrays. More specifically, neural networks are developed for fault classification, which have been trained using dropout regularizers. These neural networks are examined and assessed, then compared with other classification algorithms. In order to classify a wide variety of faults, a set of unique features are extracted from PV array measurements and used as inputs to a neural network. Example approaches to neural network pruning are described, illustrating trade-offs between model accuracy and complexity. This approach promises to improve the accuracy of fault classification and elevate the efficiency of PV arrays.
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公开(公告)号：US11765609B2
公开(公告)日：2023-09-19
申请号：US17345652
申请日：2021-06-11
摘要： A system estimates spectral radius and leverages local updates from neighboring nodes in a wireless network to iteratively update state values of each node in the network and estimate a spectral radius of the network with guaranteed convergence. A method associated with the system method is a distributed method that efficiently converges to an invertible function of the spectral radius based only on local communications of the network for digital communication models in the presence and/or absence of packet loss, as opposed to conventional centralized methods.
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4.发明授权公开(公告)号：US09507011B2
公开(公告)日：2016-11-29
申请号：US14213655
申请日：2014-03-14
CPC分类号： G01S5/0278 , G01S5/0289 , G01S5/14 , H04W84/18
摘要： Some embodiments include a wireless sensor network system. Other embodiments of related systems and methods are also disclosed.
摘要翻译： 一些实施例包括无线传感器网络系统。 还公开了相关系统和方法的其它实施例。
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公开(公告)号：US11490286B2
公开(公告)日：2022-11-01
申请号：US17146130
申请日：2021-01-11
摘要： Various embodiments of systems and methods for robust max consensus for wireless sensor networks in the presence of additive noise by determining and removing a growth rate estimate from state values of each node in a wireless sensor network are disclosed.
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公开(公告)号：US20210392529A1
公开(公告)日：2021-12-16
申请号：US17345652
申请日：2021-06-11
IPC分类号： H04W24/08
摘要： Various embodiments of a system and associated method for estimating a consensus driven distributed a spectral radius of a wireless sensor network are disclosed herein.
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7.发明申请公开(公告)号：US20180197046A1
公开(公告)日：2018-07-12
申请号：US15869780
申请日：2018-01-12
CPC分类号： G06K9/6255 , G06K9/20 , G06K9/4628 , G06K9/6231 , G06K9/6268 , G06K9/627 , G06N3/0445 , G06N3/0454 , G06N3/0472 , G06N3/08 , G06N3/084
摘要： The disclosure relates to an image recognition algorithm implemented by a hardware control system which operates directly on data from a compressed sensing camera. A computationally expensive image reconstruction step can be avoided, allowing faster operation and reducing the computing requirements of the system. The method may implement an algorithm that can operate at speeds comparable to an equivalent approach operating on a conventional camera's output. In addition, at high compression ratios, the algorithm can outperform approaches in which an image is first reconstructed and then classified.
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8.发明公开公开(公告)号：US20230291203A1
公开(公告)日：2023-09-14
申请号：US18121388
申请日：2023-03-14
CPC分类号： H02J3/004 , G05F1/67 , H02J2300/26
摘要： A system reconfigures a photovoltaic array used in solar energy based on observed shading conditions to determine an optimal topology of the photovoltaic array to maximize power output. Specifically, the system is designed to reconfigure a photovoltaic array when the photovoltaic array is partially shaded. The system uses a neural network model to determine a topology that maximizes power output of the photovoltaic array based on irradiance data obtained from the photovoltaic array.
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公开(公告)号：US20210219167A1
公开(公告)日：2021-07-15
申请号：US17146130
申请日：2021-01-11
摘要： Various embodiments of systems and methods for robust max consensus for wireless sensor networks in the presence of additive noise by determining and removing a growth rate estimate from state values of each node in a wireless sensor network are disclosed.
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公开(公告)号：US10440553B2
公开(公告)日：2019-10-08
申请号：US15995433
申请日：2018-06-01
摘要： Some embodiments include a wireless sensor network including a plurality of sensor nodes each comprising: a signal receiver configured to receive intermediate information from at least one of one or more neighboring nodes of the plurality of sensor nodes, one or more processors configured to receive the intermediate information and update the intermediate information based on a soft-max approximation function, and a transmitter configured to send the intermediate information, as updated, to at least one of the one or more neighboring nodes of the plurality of sensor nodes. For each sensor node of the plurality of sensor nodes: the sensor node can store local location coordinates for the sensor node, and the sensor node can be devoid of receiving location coordinates for any other of the plurality of sensor nodes. The plurality of sensor nodes can be configured to communicate in a distributed manner for a first plurality of iterations until a final iteration of the first plurality of iterations when a predetermined stopping condition is satisfied. The plurality of sensor nodes can be further configured to generate an estimated center of the wireless sensor network based on the intermediate information updated in the final iteration of the first plurality of iterations. The wireless sensor network can be devoid of a fusion center. Other embodiments are disclosed.
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