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Fault tracing method of metering device based on deep belief network

A technology of deep belief network and metering device, which is applied in the field of power system distribution transformer data processing, can solve the problems of slow processing speed, difficulty in processing high-dimensional features, and large memory usage

Active Publication Date: 2022-05-10
ELECTRIC POWER SCI RES INST OF STATE GRID XINJIANG ELECTRIC POWER +2
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  • Application Information

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Problems solved by technology

Aiming at the problems of slow processing speed, large memory usage, and difficulty in processing high-dimensional features in traditional methods when processing massive data, the present invention provides a fault tracing method for metering devices based on deep belief networks

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  • Fault tracing method of metering device based on deep belief network
  • Fault tracing method of metering device based on deep belief network
  • Fault tracing method of metering device based on deep belief network

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Embodiment Construction

[0062] The invention will be further described below in combination with the accompanying drawings.

[0063] 1. Basic principle of deep belief network model:

[0064] Deep belief network (DBN) is a neural network model composed of multiple restricted Boltzmann machines (RBM), and its core is RBM unit. DBN is an improved neural network model based on traditional BP neural network, which is composed of multiple RBM stacks. In the first step, unsupervised greedy algorithm is used to train each layer of RBM separately in the pre training process. A more reasonable pre training process can provide a good initial value of weight for the whole DBN network and facilitate subsequent training. In the second step, the traditional feedforward BP back propagation is used to change the value, so as to obtain the optimal position of local convergence.

[0065] Figure 1 Represents a simple DBN network structure composed of three-layer RBM. Figure 1 Medium V 1 Is the visible layer connecting the ...

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Abstract

The invention discloses a fault tracing method of a metering device based on a deep belief network, which constructs a sample database by integrating ledger data of smart meters and electricity consumption characteristic data of faulty meters, and uses a deep belief network model to study the offline ledger data sample database; Input the attribute data contained in the online ledger data sample library to the trained deep belief network model to realize the judgment of the normal and faulty operation status of the metering device; further faults are detected by the detected faulty electricity meter through the power consumption curve fault characteristic sample library Traceability, and finally get accurate measurement device fault traceability results. The fault tracing method of the metering device based on the deep belief network provided by the present invention provides scientific and reasonable guidance for the rotation period and maintenance strategy of the metering device.

Description

technical field [0001] The invention relates to a fault tracing method of a metering device based on a deep belief network, which belongs to the technical field of power system distribution transformer data processing. Background technology [0002] At present, the power system produces a large amount of data in the actual operation process. The efficient collection and use of these data is an important problem to be solved urgently. As of January 2018, the smart meter and power consumption information collection of the State Grid Corporation of China has covered 99% of the power users within the business scope. The time series data collected by the smart meter contains rich power consumption behavior information and characteristics of power users, so as to provide power system user load forecasting, planned outage management, electrical equipment maintenance, optimal dispatching, and reasonably deal with the destructive impact of power load changes of large users on the power gr...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R35/04
CPCG01R35/04
Inventor 李宁费守江刘国亮杨琳孙羽森
Owner ELECTRIC POWER SCI RES INST OF STATE GRID XINJIANG ELECTRIC POWER