Fault diagnosis method and system of npc three-level inverter based on dbn

A three-level inverter and fault diagnosis technology, which is applied in neural learning methods, power supply testing, biological neural network models, etc., can solve the problems such as the general extraction effect of abrupt non-stationary signals and affect the diagnosis results, etc., to speed up the convergence speed and accuracy, improve anti-interference ability, and reduce the effect of feature dimension

Active Publication Date: 2022-07-19
HEFEI UNIV OF TECH
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Problems solved by technology

However, the above-mentioned feature extraction method is not effective in extracting the abrupt non-stationary signal that occurs when the NPC three-level inverter is faulty, and the above-mentioned neural network is easy to fall into a local optimal solution during training, which affects the final diagnosis result.

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  • Fault diagnosis method and system of npc three-level inverter based on dbn
  • Fault diagnosis method and system of npc three-level inverter based on dbn
  • Fault diagnosis method and system of npc three-level inverter based on dbn

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Embodiment Construction

[0078] like figure 1 As shown, a DBN-based NPC three-level inverter fault diagnosis method includes the steps in the following sequence:

[0079] (1) Build the NPC three-level inverter experimental platform;

[0080] (2) Simulate 11 open-circuit faults of phase a of the NPC three-level inverter by controlling the drive signal of the power switch tube, and measure the three-way voltages of the upper, middle and lower bridge arms of the a-phase bridge arm of the NPC three-level inverter The signal is sent to the host computer of the NPC three-level inverter experimental platform;

[0081] (3) The upper, middle and lower bridge arm voltage signals are used by the host computer as the feature vector of the final classification after S transformation and singular value decomposition SVD, and the sample data is divided into training set and test set according to the ratio of 5:2;

[0082] (4) Send the training set to the improved deep belief network I-DBN for training;

[0083] (...

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Abstract

The invention relates to a DBN-based NPC three-level inverter fault diagnosis method, comprising: building an NPC three-level inverter experimental platform; The three-way voltage signal of the bridge arm is sent to the upper computer of the NPC three-level inverter experimental platform; the upper computer will use the upper, middle and lower bridge arm voltage signals after S transform and singular value decomposition SVD as the feature vector of the final classification ; Send the training set to the improved deep belief network I-DBN for training; use the test set to test the trained and improved deep belief network I-DBN, analyze the diagnosis results and display the results in the display interface of the host computer come out. The invention also discloses a DBN-based NPC three-level inverter fault diagnosis system. The invention solves the problem that the traditional feature extraction method is not suitable for the feature extraction of the sudden change fault signal and the non-stationary fault signal in the three-level inverter.

Description

technical field [0001] The invention relates to the technical field of power electronic fault diagnosis, in particular to a DBN-based NPC three-level inverter fault diagnosis method and system. Background technique [0002] Inverters are widely used in power generation systems, and are power electronic devices that undertake power conversion. The failure of the inverter is directly related to whether the power conversion can be carried out normally, and even the safe and reliable operation of the entire power grid. The three-level inverter is the most common inverter in the power system at this stage. Compared with the previous traditional two-level inverter, the three-level inverter has the advantages of small switching loss, more output levels, and output current. Low harmonic content and adaptability to higher voltage levels. However, compared with the two-level inverter, the three-level inverter is applied to more power switching devices, resulting in a higher failure r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/40G06N3/04G06N3/08
CPCG01R31/40G06N3/04G06N3/08
Inventor 李兵单万宁梁舒奇何怡刚佐磊尹柏强李强谢长健
Owner HEFEI UNIV OF TECH
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