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Fault diagnosis method and apparatus for main sintering exhaust fan

A fault diagnosis device, the technology of the main exhaust fan, applied in the direction of measuring device, engine test, machine/structural component test, etc., can solve the problem of low fault diagnosis accuracy and high

Inactive Publication Date: 2017-10-31
ZHONGYE-CHANGTIAN INT ENG CO LTD
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Problems solved by technology

[0007] The invention provides a fault diagnosis method and device for a sintering main exhaust fan to solve the technical problem of low fault diagnosis accuracy in the prior art

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  • Fault diagnosis method and apparatus for main sintering exhaust fan
  • Fault diagnosis method and apparatus for main sintering exhaust fan
  • Fault diagnosis method and apparatus for main sintering exhaust fan

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Embodiment Construction

[0085] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of means consistent with aspects of the invention as recited in the appended claims.

[0086] Each embodiment in this specification is described in a progressive manner, the same and similar parts of each embodiment can be referred to each other, and each embodiment focuses on the differences from other embodiments.

[0087] Please refer to figure 2 , shows a flow chart of a fault diagnosis method for a sintering main exhaust fan provided in an embodiment of the present invention. see figure 2...

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Abstract

The invention provides a fault diagnosis method and apparatus for a main sintering exhaust fan. The fault diagnosis method comprises: collecting a vibration signal of a main sintering exhaust fan; and carrying out wavelet packet decomposition on the vibration signal, extracting a test sample and acquiring fault information of the main sintering exhaust fan by using an extreme learning machine model. With the wavelet packet analysis method, effective extraction and decomposition can be carried out on high-frequency and low-frequency components; while information integrity is ensured, characteristics of non stability and short duration of the signal can be reflected with deepening of a fault degree; the severe working environment of the main sintering exhaust fan and the harmonic characteristic of the vibration signal can be adapted effectively. Meanwhile, because of the powerful classification capability of the extreme learning machine, adaptability to various fault types of the main sintering exhaust fan is improved. Therefore, with the fault diagnosis method, a technical problem of poor accuracy of fault diagnosis in the prior art is solved.

Description

technical field [0001] The invention relates to a fault diagnosis method of a rotating machine, in particular to a fault diagnosis method and device of a sintering main exhaust fan. Background technique [0002] The raw materials for ironmaking in the ironworks are mainly provided by the sintering plant, and the sintering main exhaust fan is one of the core equipment of the sintering plant, which undertakes the important task of ventilating the sintering machine. The sintering main exhaust fan draws out the air in the sintering machine through the flue to generate negative pressure, so that the solid fuel in the sintering material can be fully burned from bottom to top; at the same time, the gas and dust generated during the sintering process are purified by the flue and dust collector. Chimney exhaust. The selection and adjustment of the air volume and negative pressure of the sintering main exhaust fan are directly related to the sintering quality. Once the sintering main...

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Application Information

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IPC IPC(8): G01M15/00
CPCG01M15/00
Inventor 李宗平王全孙英曾辉
Owner ZHONGYE-CHANGTIAN INT ENG CO LTD
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