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A multi-scale OGLPE feature extraction method applied to inverter faults

A feature extraction, multi-scale technology, used in instruments, measuring electrical variables, measuring devices, etc., can solve problems such as insufficient functionality, only considering global distribution characteristics or local structure retention characteristics.

Inactive Publication Date: 2019-05-28
XIHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, the present invention proposes a multi-scale OGLPE feature extraction method applied to inverter faults, which is used to solve the functional problems in the prior art that only consider the global distribution characteristics or local structure preservation characteristics. deficiencies and limitations

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  • A multi-scale OGLPE feature extraction method applied to inverter faults
  • A multi-scale OGLPE feature extraction method applied to inverter faults
  • A multi-scale OGLPE feature extraction method applied to inverter faults

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Embodiment Construction

[0072] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0073] The present invention is realized based on the cascaded H-bridge seven-level inverter, the original feature attributes of some faults of the cascaded H-bridge seven-level inverter intersect with each other, and the similarity of different fault types is high, and the effective features extracted from the original feature quantity are effective. It is conducive to improving the accuracy of fault diagnosis, providing th...

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Abstract

A multi-scale OGLPE feature extraction method applied to inverter faults comprises the following steps of S1, collecting the original three-phase current signals, and obtaining the current deviation signals by combining with reference current signals; S2, performing multi-scale decomposition on the current deviation signal under each state by using an integrated empirical mode decomposition (EEMD)method to obtain intrinsic mode IMF components under different scales; S3, adaptively extracting sensitive features embedded in each IMF component by using an orthogonal global and local preserving embedded OGLPE feature extraction method to form a fault feature set. According to the method, the problems of insufficient functionality and limitation caused by only considering global distribution characteristics or local structure retention characteristics in the prior art are solved.

Description

technical field [0001] The invention belongs to the technical field of power electronics, and in particular relates to a multi-scale OGLPE feature extraction method applied to inverter faults. Background technique [0002] Cascaded H_bridge (CHB) has the characteristics of high voltage, large capacity and low harmonic distortion, and has been widely used in power electronics transformer (Power electronics transformer, PET) and static var generator (Static Var Generator, SVG) . The structure of the cascaded H-bridge multilevel inverter is complex, there are many IGBTs, and the switching frequency is fast, and the probability of failure is significantly increased. Once the IGBT has an open circuit failure, the output three-phase voltage will be unbalanced, which will seriously affect the system. At present, the fault-tolerant technology is mainly used to make it continue to operate, and the key to realize the fault-tolerant operation function is to quickly identify and locate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G01R31/02
Inventor 张彼德彭丽维孔令瑜梅婷李宜肖丰洪锡文陈颖倩
Owner XIHUA UNIV
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