Universal circuit breaker mechanical fault diagnosis method based on feature fusion of vibration and sound signals

A technology of feature fusion and mechanical failure, applied in circuit breaker testing, testing of mechanical components, instruments, etc., can solve problems such as dependence on decomposition effects, energy leakage of wavelet decomposition, and non-adaptiveness

Inactive Publication Date: 2016-10-12
HEBEI UNIV OF TECH
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Problems solved by technology

[0004] In the feature extraction process of the second link, in view of the nonlinear and non-stationary characteristics of vibration signals, wavelet analysis, empirical mode decomposition (empirical modedecomposition, EMD), and overall Average empirical mode decomposition (ensemble EMD, EEMD), Hilbert-Huang transform (Hilbert-Huang transform, HHT), etc., but wavelet has its own defects in fault signal decomposition, and its decomposition effect depends on

Method used

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  • Universal circuit breaker mechanical fault diagnosis method based on feature fusion of vibration and sound signals
  • Universal circuit breaker mechanical fault diagnosis method based on feature fusion of vibration and sound signals
  • Universal circuit breaker mechanical fault diagnosis method based on feature fusion of vibration and sound signals

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Embodiment 1

[0198] Take the DW15 series universal circuit breaker DW15-1600 as the experimental object. The faults in the opening and closing state of the circuit breaker are mainly manifested in the action time exceeding the regulation, and the mechanical state of the typical fault of opening and closing can be simulated by adjusting the opening distance and overtravel between the contacts. Adjust the cantilever of the contact system to simulate the false closing state; add more spacers between the in-place buckles of the opening to simulate the incomplete opening state; adjust the length of the connecting rods of the three-phase contacts to simulate the failure caused by mechanism wear or improper adjustment. One of the three-phase contacts is not synchronous with the other two phases, that is, the single phase of the three phases A, B, and C is out of sync. Using the above-mentioned universal circuit breaker opening and closing fault diagnosis method based on vibration-acoustic signal ...

Embodiment 2

[0226] Aiming at the opening and closing faults of the universal circuit breaker, the experiment was carried out by adjusting the circuit breaker several times to simulate different fault states. 30 groups of experiments were done for each fault state under different conditions. The specific adjustment range is shown in Table 4. The overtravel simulates the false closing state, the thickness of the gasket simulates the incomplete opening state, the difference between the opening distance of phase A and the other two phases simulates the state of phase A being out of phase, and the phase B and C phase out of phase are the same as A.

[0227] Table 4 Adjustment parameters for simulating circuit breaker faults

[0228]

[0229] Under the three different conditions in Table 4, the same order binary tree RVM model is used, 20 groups of feature samples are used for training in each state, and 10 groups are used for testing. The method in this paper is combined with the commonly us...

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Abstract

The invention provides a universal circuit breaker mechanical fault diagnosis method based on feature fusion of vibration and sound signals. The method includes steps of 1, collecting machine vibration signals and machine sound signals during an engaging and disengaging process of a universal circuit breaker; 2, adopting an improved wavelet packet threshold value denoising algorithm for denoising; 3, adopting a complementary total average empirical mode decomposition algorithm for extracting a plurality of solid mode function components reflecting state information of engagement and disengagement actions of the circuit breaker from the denoising signals; 4, determining the number Z of the solid mode function components; 5, calculating the energy ratio, the sample ratio and the power spectrum entropy as three types of features; 6, adopting a combination core principal component analysis method for performing dimension reduction on a feature sample with unified three types of features of the vibration and the sound signals and obtaining M principle components; 7, establishing a related vector machine based sequence binary tree multiple classifier model.

Description

technical field [0001] The technical solution of the present invention relates to the mechanical fault diagnosis of circuit breakers, in particular to a fault diagnosis method based on fusion of vibration-acoustic signal features. Background technique [0002] According to the country's plan for smart grid construction, smart substations are an important part and key link of smart grids. Intelligent universal circuit breakers are an important part of smart substations and one of the key equipment for low-voltage distribution networks in power systems. It is used at the main incoming line or important equipment in the low-voltage power distribution system. Research at home and abroad shows that circuit breakers are prone to mechanical failures, and the research work on them mainly focuses on the diagnosis of mechanical failures of high-voltage circuit breakers, but the reliability of the operation of universal circuit breakers is also related to the safe operation of power sy...

Claims

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Application Information

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IPC IPC(8): G01M13/00G01R31/327
CPCG01M13/00G01R31/3277
Inventor 孙曙光赵黎媛于晗杜太行张强丁铭真刘建强陈云飞
Owner HEBEI UNIV OF TECH
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