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A Multiscale OGLPE Feature Extraction Method Applied to Inverter Faults

A feature extraction and inverter technology, applied in the field of power electronics, can solve problems such as insufficient functionality, only considering global distribution characteristics or local structure retention characteristics, etc.

Inactive Publication Date: 2020-11-03
XIHUA UNIV
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  • Summary
  • 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 Multiscale OGLPE Feature Extraction Method Applied to Inverter Faults
  • A Multiscale OGLPE Feature Extraction Method Applied to Inverter Faults
  • A Multiscale OGLPE Feature Extraction Method Applied to Inverter Faults

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Embodiment Construction

[0072] The following describes the specific embodiments of the present invention to facilitate those skilled in the art to 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 These changes are obvious within the spirit and scope of the present invention defined and determined by the appended claims, and all inventions and creations using the concept of the present invention are protected.

[0073] The present invention is implemented based on a cascaded H-bridge seven-level inverter. The original feature attributes of some faults of the cascaded H-bridge seven-level inverter cross each other, and the similarity of different fault types is high. The effective features are extracted from the original feature quantities. It is helpful to improve the accuracy of fault diagnosis, and it is possible to achieve improved modulation. Se...

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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 specifically 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 transformers (PET) and static var generators (SVG). The cascaded H-bridge multilevel inverter has a complex structure, with more IGBTs and fast switching frequency, and its failure probability increases significantly. Once the IGBT has an open circuit failure, the output three-phase voltage is unbalanced, which will have a serious impact on the system. At present, fault-tolerant technology is mainly used for this situation to make it continue to operate, and the key to realize the function of fault-tolerant operation is to quickly identify and locate faulty components. [0003] The original feature attributes o...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
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