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Circuit breaker fault diagnosis method and device based on knowledge base and computing device

A technology of circuit breaker fault and diagnosis method, applied in the field of power grid, can solve the problem of not being able to more comprehensively reflect the real state of low-voltage frame circuit breakers

Inactive Publication Date: 2019-01-04
罗孚电气(厦门)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the existing methods only extract a type of characteristic quantity of the vibration signal, which cannot fully reflect the real state of the low-voltage frame circuit breaker

Method used

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  • Circuit breaker fault diagnosis method and device based on knowledge base and computing device
  • Circuit breaker fault diagnosis method and device based on knowledge base and computing device
  • Circuit breaker fault diagnosis method and device based on knowledge base and computing device

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Embodiment Construction

[0048] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0049] It should be clear that the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0050] Firstly, the feature extraction is introduced.

[0051] Hilbert marginal spectral energy

[0052]After the signal is transformed by HHT (Hilbert Huang Transform, Hilbert Huang Transform), the instantaneous frequency and instantaneous amplitude can be obtained, that is, the complete time-frequency distribution of the signal is shown, and the Hilbert spectrum is further integrated with time to obtain the Hilbert marginal spectrum, from In a statistical sense, it shows the cumulative amplitude distribution of ea...

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Abstract

The invention discloses a circuit breaker fault diagnosis method and device based on a knowledge base and a computing device. The method comprises a step of receiving a low-voltage frame circuit breaker switch-off vibration signal, a step of performing empirical mode decomposition on the circuit breaker vibration signal to obtain a plurality of sets of components characterized based on intrinsic mode functions, a step of determining the ratio of the energy of components of at least one group to a sum of energies, wherein the sum of energies is the sum of the energy corresponding to each component characterized by the plurality of sets of intrinsic mode functions, and a step of calculating the total energy of the obtained circuit breaker switch-off vibration signal according to the ratio ofthe energy of components of at least one group to the sum of the energies and performing fault diagnosis on the low-voltage frame circuit breaker with reference to a knowledge base set and stored inadvance. In addition, the present invention also discloses the diagnosis device and the computing device. The common mechanical faults of the low-voltage frame circuit breaker can be effectively classified, and the true state of the circuit breaker is more fully reflected.

Description

technical field [0001] The invention relates to the technical field of power grids, in particular to a knowledge base-based circuit breaker fault diagnosis method, device and computing equipment. Background technique [0002] The low-voltage frame circuit breaker is an important power device that plays a role in protection and control in the power grid. Its operating status is closely related to the stability of the power grid. Therefore, it is of great significance to the fault diagnosis of the low-voltage frame circuit breaker. [0003] At present, there are few mechanical fault diagnosis methods based on vibration signals for low-voltage frame circuit breakers, and the fault feature extraction methods only include: short-time Fourier transform to extract feature quantities; high-order spectral analysis to extract feature quantities; wavelet packet-feature entropy Extract feature quantity; wavelet packet feature node maximum coefficient extract feature quantity: empirical ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/327G01M13/00
CPCG01M13/00G01R31/3277
Inventor 刘宗健张振兵
Owner 罗孚电气(厦门)有限公司
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