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Mechanical impact type fault diagnosis method based on variable space-scale frame

A variable space, fault diagnosis technology, applied in the testing of mechanical components, testing of machine/structural components, measuring devices, etc., can solve problems such as unfavorable fault characteristics, difficult for technicians to understand, and poor practicability.

Inactive Publication Date: 2012-10-10
XI AN JIAOTONG UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] However, the classical discrete wavelet transform methods, such as the Daubechies family, have problems such as single wavelet time-frequency characteristics and fixed basis functions, which are not conducive to matching complex and diverse fault characteristics.
On the other hand, the selection of wavelet basis functions and their analysis parameters often requires a lot of supervision and intervention of professionals, which is difficult for ordinary technicians to understand, so the practicability in industrial sites is poor

Method used

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  • Mechanical impact type fault diagnosis method based on variable space-scale frame
  • Mechanical impact type fault diagnosis method based on variable space-scale frame
  • Mechanical impact type fault diagnosis method based on variable space-scale frame

Examples

Experimental program
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Embodiment 1

[0159] This embodiment mainly verifies the effectiveness and accuracy of the method of the present invention. The acceleration signal collected by the vibration acceleration sensor from the rolling bearing test bench of the locomotive running part, the rolling bearing model is 552732QT, and its structural parameters are shown in Table 1. The shaft speed is 653r / min, the sampling frequency is 12.8KHz, and the sampling length is 16384. According to the calculation formula of the characteristic frequency of the outer ring of the rolling bearing

[0160] f o =0.5n(1-d / D p cosθ)f r

[0161] The fault characteristic frequency of the outer ring of the tested bearing is 78.52 Hz.

[0162] Table 1 Test rolling bearing parameters

[0163]

[0164] figure 1 It is the vibration signal and frequency spectrum collected on the test bench. Let the control parameter γ be in space

[0165] Γ={(p,q,s)|p,q,s∈Z + ,2≤p≤9,q=p+1,1≤s≤3}

[0166] Take the value in and calculate the global characteristic kur...

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Abstract

The invention discloses a mechanical impact type fault diagnosis method based on a variable space-scale frame, which is characterized by comprising the following steps of: firstly, constructing frame functions with different space-scale characteristics on the basis of different control parameters; carrying out multiscale analysis on the dynamic response signal of electromechanical equipment by the constructed functions; calculating the global characteristic kurtosis of each time-scale frame function; selecting the optimal frame function of the dynamic signal by taking global characteristic kurtosis maximization as a target; analyzing the dynamic signal by the optimal frame function; calculating the time frequency joint kurtosis distribution map of each single reconstruction signal; and carrying out fault diagnosis by taking a sub-frequency band to which the maximum value of the time frequency joint kurtosis belongs in a picture as an optimal analysis sub-frequency band. With the method disclosed by the invention, an analysis parameter can be optimized, a key fault characteristic is self-adaptively extracted, the impact type fault diagnosis of the complex electromechanical equipment is realized, the phenomenon that the equipment operation quality is lowered is found as early as possible, and major machine accidents are avoided.

Description

Technical field [0001] The invention relates to a method for diagnosing mechanical faults, in particular to a technology for enhancing and separating the impact characteristics of complex electromechanical equipment (including rotating machinery and reciprocating machinery). Background technique [0002] Large complex electromechanical equipment plays an important role in various sectors of national economic activities, such as transportation, metallurgical energy, equipment manufacturing, and defense industry. Under complex and harsh operating conditions, key components of important equipment, such as bearings, gears and rotors of rotating machinery, and pistons, valves, cranks and connecting rods of reciprocating machinery, are inevitably worn, peeled, and cracked Other local damages lead to performance degradation and failures gradually, resulting in a decline in the quality of product equipment operation and even machine crashes and deaths. Early detection of potential failu...

Claims

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Application Information

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IPC IPC(8): G01M13/00
Inventor 何正嘉陈彬强张周锁訾艳阳陈雪峰李兵曹宏瑞孙海亮李继猛
Owner XI AN JIAOTONG UNIV
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