Transformer state evaluation and fault detection method based on multi-source data fusion
A technology for transformer fault and status assessment, applied in the direction of instruments, measuring electricity, measuring devices, etc., can solve the problems of affecting data accuracy, untimely alarm, inaccurate detection data, etc., to reduce the number of registers and the complexity of programming, Improve prediction accuracy and avoid the effect of division operations
A technology for transformer fault and status assessment, applied in the direction of instruments, measuring electricity, measuring devices, etc., can solve the problems of affecting data accuracy, untimely alarm, inaccurate detection data, etc., to reduce the number of registers and the complexity of programming, Improve prediction accuracy and avoid the effect of division operations
CN109856488APending Publication Date: 2019-06-07CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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[0046] In order to further understand the content, features and effects of the present invention, the following examples are given, and detailed descriptions are given below with reference to the accompanying drawings.
[0047] The structure of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0048] Such as figure 1 As shown, the transformer state assessment and fault detection method based on multi-source data fusion provided by the present invention includes the following steps:
[0049] S101: The transformer fault type detection system based on multi-data fusion detects electric quantity data, and detects transformer current data by using a current sensor based on least square method cyclic correction. Use the voltmeter based on the "remainder splitting" algorithm to improve the accuracy to detect the transformer voltage data.
[0050] S102: Using a temperature sensor to detect transformer temperature data. The temp...
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The invention belongs to the technical field of transformer fault type detection, and discloses a transformer state evaluation and fault detection method based on multi-source data fusion. Transformercurrent data are detected by using a current sensor corrected in a cyclic mode based on least square method. A voltmeter improving accuracy based on a remainder splitting algorithm is utilized to detect transformer voltage data. Transformer temperature data are detected by using a temperature sensor. A gas sensor performing temperature compensation based on a standard artificial bee colony algorithm is used for detecting concentration data of transformer fault characteristic gas. A data processing software is utilized to build a transformer fault model, and the transformer fault state is evaluated according to the detected data. An alarm or notification is given in time according to the evaluation results by using an alarm apparatus. The transformer state evaluation and fault detection method adopts a theory of a probability fuzzy set to process and analyze; the fault state of a transformer can be evaluated, the uncertainty of the characteristic value of the fault state of the transformer is reflected, and theoretical guidance is provided for the evaluation of the fault state of the transformer.
Description
technical field [0001] The invention belongs to the technical field of transformer fault type detection, in particular to a transformer state evaluation and fault detection method based on multi-source data fusion. Background technique [0002] Transformer is a device that uses the principle of electromagnetic induction to change AC voltage. The main components are primary coil, secondary coil and iron core (magnetic core). The main functions are: voltage conversion, current conversion, impedance conversion, isolation, voltage stabilization (magnetic saturation transformer), etc. According to the use, it can be divided into: power transformers and special transformers (electric furnace transformers, rectifier transformers, power frequency test transformers, voltage regulators, mining transformers, audio transformers, intermediate frequency transformers, high frequency transformers, impact transformers, instrument transformers, electronic transformers , reactors, transformer...
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Patent Timeline
07 Jun 2019
Publication
CN109856488A
- IPC
- G01R31/00; G01D21/00; G06K9/62
- Inventors
- 付强; 朱佼佼