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High-voltage circuit breaker fault detection method based on convolution nerve network algorithm

A convolutional neural network and high-voltage circuit breaker technology, which is applied to circuit breaker testing, instruments, and electrical measurement, can solve problems such as neural networks not working properly, inability to explain the reasoning process and reasoning basis, and insufficient data.

Active Publication Date: 2017-01-04
西安金源电气股份有限公司
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Problems solved by technology

[0004] There are many existing methods for troubleshooting high-voltage circuit breakers, which involve various artificial intelligence algorithms, such as: fuzzy control can use precise mathematical tools to clarify fuzzy concepts or natural language, but the determination of its membership functions and fuzzy rules There are certain human factors in the process; the radial basis neural network provides a better structural system for the fault diagnosis of the circuit breaker, but there are problems that cannot explain the reasoning process and reasoning basis of itself and the neural network cannot work normally when the data is insufficient. disadvantages of work

Method used

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  • High-voltage circuit breaker fault detection method based on convolution nerve network algorithm
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  • High-voltage circuit breaker fault detection method based on convolution nerve network algorithm

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Embodiment

[0139] Take t0 as the zero point of the command time to extract the fault characteristic parameters I1, I2, I3, t1, t2, t3, t4, t5 to monitor the status of the circuit breaker, and obtain ten sets of fault sample data. These ten sets of fault sample data include normal mechanism ( A), the operating voltage is too low (B), the closing iron core is jammed at the beginning (C), the operating mechanism is jammed (D), and the closing iron core empty stroke is too large (E). The data collection status is shown in Table 1. Shown

[0140] Table 1 Failure sample data

[0141]

[0142] The characteristic curve of closing / opening coil current is as Figure 4 As shown, we can see:

[0143] (1) Phase I, t=t0~t1; the coil starts to be energized at t0, and the core starts to move at t1; t0 is the time when the circuit breaker opening and closing commands are issued, and it is the timing starting point for the opening and closing actions of the circuit breaker; T1 is The current and magnetic flux...

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Abstract

The high-voltage circuit breaker fault detection method based on the convolution nerve network algorithm disclosed by the invention comprises: a magnetic balance Hall current sensor is connected with a breaker switch-on-off coil and a data processing system to construct a switch-on-off coil current online monitoring system which is configured to monitor obtained switch-on-off coil current data in real time; the depth learning algorithm based on the convolution nerve network is configured to construct a fault type prediction model and input the part of the switch-on-off coil current data into the constructed fault type prediction model for training; the part of the switch-on-off coil current data is inputted into the trained fault type predication model which is configured to process the inputted switch-on-off coil current data so as to complete the fault detection of the high-voltage circuit breaker. The high-voltage circuit breaker fault detection method based on the convolution nerve network algorithm employs the convolution nerve network to analyze fault characteristic signals so as to accurately determine the fault type of the breaker while making up the deficiency of the artificial neural network detection.

Description

Technical field [0001] The invention belongs to the technical field of high-voltage circuit breaker detection methods, and specifically relates to a high-voltage circuit breaker fault detection method based on a convolutional neural network algorithm. Background technique [0002] The high-voltage circuit breaker is the most important control and protection device of the power system, which is related to the reliability and safety of power transmission, distribution and power consumption. The high-voltage circuit breaker can realize a variety of operations under system failure and non-fault conditions. The circuit breaker can also close, carry and break the normal current of the operating circuit, and can also close, carry and break the specified overload current within the specified time. [0003] High-voltage circuit breakers generally use electromagnets as the first control element for operation, and most of the operating mechanisms are DC electromagnets. When the current pass...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/327
CPCG01R31/3275
Inventor 黄新波胡潇文魏雪倩李弘博周岩高华李志文
Owner 西安金源电气股份有限公司
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