Rotary machine fault characteristic extraction method based on order-holospectrum principle

A technology for fault characteristics and rotating machinery, applied in the testing of mechanical components, testing of machine/structural components, measuring devices, etc., can solve problems such as application scope limitations, and achieve the effect of expanding the scope of application

Inactive Publication Date: 2015-07-01
XI AN JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, holographic spectrum technology also has some shortcomings: the main analysis object is the steady-state signal of fixed speed, it is difficult to analyze the speed fluctuation and the non-stationary signal in the process of speed up and down, which greatly limits the scope of application

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  • Rotary machine fault characteristic extraction method based on order-holospectrum principle
  • Rotary machine fault characteristic extraction method based on order-holospectrum principle
  • Rotary machine fault characteristic extraction method based on order-holospectrum principle

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with accompanying drawing.

[0033] In the present invention, the unsteady signal is sampled at equal angles by using the calculation order ratio technology, and then analyzed by the principle of holographic spectrum. Waterfall charts, etc. For the rotation speed fluctuation signal, the order analysis can be carried out on the whole segment of data, and then the holographic spectrum analysis can be carried out to draw the two-dimensional holographic spectrum, and the fault diagnosis can be carried out according to the two-dimensional hologram. For the start-stop signal, step ratio analysis can be performed on a small section of the signal, and the changes of various characteristic parameters during the start-stop process can be visually observed according to the finally obtained force and force couple decomposition, holographic waterfall diagram, etc.

[0034] Specific steps are as follows:

[0035] ...

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Abstract

The invention discloses a rotary machine fault characteristic extraction method based on order-holospectrum principle, wherein the ability of order analysis for processing non-stationary signal and the ability of holospectrum for comprehensively and reliably reflecting machine set status are utilized. The ability of order analysis and the ability of holospectrum are fused, so that fault diagnosis an be carried out by utilizing two-dimensional holospectrum when speed oscillation, and force and force couple decomposition and holographic waterfall chart analysis can be carried out conveniently on cycling start and stopping signals. According to the method, the application scope of the traditional holospectrum is greatly expanded, various characteristic parameters can be extracted for the cycling start and stopping signals, the traditional limitation of only carrying out Bode diagram analysis is broken through, the monitor and diagnosis level and range of rotary machine faults are widened, and powerful support is provided for rotary machines healthily and reliably.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of mechanical equipment, and in particular relates to a method for extracting fault features of rotating machinery based on the principle of order ratio-holographic spectrum. Background technique [0002] Rotating machinery is a type of machinery widely used in modern industry. It is widely used in aviation, electric power, petroleum, chemical and other industries, and most of them are key components of production equipment. Once an accident occurs, it will cause great economic losses. Therefore, condition monitoring and fault diagnosis of rotating machinery are of great significance. At a stable speed, the use of holographic spectrum technology can comprehensively and reliably reflect the amplitude, frequency, and phase information of the unit. In actual production, it can identify hidden dangers in the operation of the unit more accurately than the general method. Holographic spectrum technology ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/00G01H17/00
Inventor 温广瑞廖与禾林京臧廷朋梁正虎李杨郎根峰
Owner XI AN JIAOTONG UNIV
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