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Fault Feature Extraction Method of Rotating Machinery Based on Kalman Order Ratio-Holographic Spectrum Principle

A technology of rotating machinery and fault characteristics, which is applied in the field of fault diagnosis of mechanical equipment, can solve problems such as the limitation of application range, and achieve the effect of expanding the application range

Active Publication Date: 2016-11-30
XI AN JIAOTONG UNIV
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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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  • Fault Feature Extraction Method of Rotating Machinery Based on Kalman Order Ratio-Holographic Spectrum Principle
  • Fault Feature Extraction Method of Rotating Machinery Based on Kalman Order Ratio-Holographic Spectrum Principle
  • Fault Feature Extraction Method of Rotating Machinery Based on Kalman Order Ratio-Holographic Spectrum Principle

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0031] The present invention first calculates the average rotational speed of each revolution through correction of the key phase signal, and then calculates the rotational speed value corresponding to each sampling point of the vibration signal through linear interpolation in each revolution. Use the calculated rotational speed signal sequence to perform Kalman order analysis on the vibration signals of each vibration channel, and extract the order components of the 1st to 4th order, and the complex envelope of each order component can be used to calculate the value of each component at the corresponding rotational speed Amplitude and phase, and then use the principle of holographic spectrum to draw the order ratio holographic waterfall diagram in the process of starting the car. Through the holographic waterfall diagram, the changes of various charact...

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Abstract

The invention discloses a rotating machinery fault feature extraction method based on the principle of Kalman order-holographic spectrum, which comprehensively utilizes the ability of Kalman order to analyze and process non-stationary signals and the ability of holographic spectrum to comprehensively and reliably reflect the state of the unit. Combining the Kalman order ratio analysis and the holographic spectrum analysis can not only use the two-dimensional holographic spectrum to carry out fault diagnosis when the rotational speed fluctuates, but also can conveniently perform force and force couple decomposition and holographic waterfall diagram analysis on the start-stop signal. It expands the application scope of the traditional holographic spectrum, realizes the extraction of various characteristic parameters for the start-stop signal, breaks through the limitation of only Bode diagram analysis in the traditional situation, and expands the level and scope of fault monitoring and diagnosis of rotating machinery. It provides strong support for the healthy and reliable operation of machinery.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of mechanical equipment, in particular to a method for extracting fault features of rotating machinery based on the Kalman order-holographic spectrum principle. 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 realizes accur...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/00
Inventor 温广瑞廖与禾李杨臧廷朋江铖梁正虎张恒辉
Owner XI AN JIAOTONG UNIV
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