Steam turbine generator set vibration fault diagnosis method and device, and computing equipment

A technology for generator set and fault diagnosis, applied in computing, computer components, neural learning methods, etc., to achieve the effect of improving the slow training speed and simplifying the knowledge acquisition process

Pending Publication Date: 2021-10-26
SUZHOU APP SCI ACAD CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Therefore, the fault diagnosis of generator sets is very important to the power system. Howeve...

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  • Steam turbine generator set vibration fault diagnosis method and device, and computing equipment
  • Steam turbine generator set vibration fault diagnosis method and device, and computing equipment
  • Steam turbine generator set vibration fault diagnosis method and device, and computing equipment

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Embodiment Construction

[0098] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0099] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0100] In order to achieve the purpose of the present invention, in some embodiments of a vibration fault diagnosis method, device and computing device of a steam turbine generator set, such as figure 1 As shown, a method for diagnosing vibration faults of a steam turbine generator specifically includes the following steps:

[01...

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Abstract

The invention discloses a steam turbine generator set vibration fault diagnosis method and device, and computing equipment. The method comprises the following steps: S1, collecting six types of fault vibration signals of a steam turbine generator set, namely rotor misalignment, rotor imbalance, bearing looseness, rotor collision and abrasion, oil film vortex motion, and steam vortex motion, then converting the fault vibration signals into discrete frequency spectrum amplitudes through Fourier transform, dividing the discrete frequency spectrum amplitudes into N main frequency bands according to energy characteristics, and performing fuzzification processing on an amplitude of each frequency band to obtain a fuzzification value; S2, establishing an information database, wherein each piece of information contains N input features, and dividing the information in the information database into a training set and a test set; S3, establishing an optimal support vector classifier model; S4, training the optimal support vector classifier model by using the training set, and performing a test verification by using the test set. According to the method, the optimal support vector classifier model is established for carrying out a steam turbine generator set vibration fault diagnosis, the architecture is simple, and the convergence is fast.

Description

technical field [0001] The invention belongs to the technical field of electric transmission control equipment and mechanical lubrication and sealing, and in particular relates to a vibration fault diagnosis method, device and computing equipment of a steam turbine generator set. Background technique [0002] In order to maintain the normal operation of large-scale steam turbine generator sets, power plants usually evaluate the operation status of internal components of the generator set by monitoring them. The vibration characteristics obtained after the analysis of the potential abnormal vibration signals during the operation of the generator set equipment are important indicators for evaluating the operation status of the equipment. The vibration sources of steam turbine generator sets can be roughly divided into electromagnetic vibration faults and mechanical vibration faults. The electromagnetic vibration of the unit mainly occurs on the generator, and may also be tran...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06N20/20
CPCG06N3/04G06N3/08G06N20/20G06F2218/12G06F18/241G06F18/2411
Inventor 胡德霖胡醇黄涛王林严俊张光辉郑伦旭卞菊惠赵国才
Owner SUZHOU APP SCI ACAD CO LTD
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