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Deconvolution method guided by harmonic-to-noise ratio

A harmonic-to-noise ratio and deconvolution technology, which is applied in the field of deconvolution based on the guidance of harmonic-to-noise ratio, can solve the problems of speedometer error, difficulty in extracting bearing fault impact signals, and impossibility of maintaining constant equipment speed, so as to achieve high efficiency High, reduce interference, save time effect

Active Publication Date: 2017-12-26
XI AN JIAOTONG UNIV
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Problems solved by technology

However, the MCKD method needs to accurately estimate the fault characteristic frequency in advance, and in engineering practice, the speedometer often has errors, and the complex working conditions make it impossible to keep the equipment speed constant
And when the speed is accurately determined, it is also difficult for MCKD to extract the impact signal of bearing faults with random sliding
These deficiencies have brought a lot of inconvenience to the application and promotion of MCKD

Method used

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  • Deconvolution method guided by harmonic-to-noise ratio
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Embodiment Construction

[0037] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0038] The following is an example of the bearing test bench of Western Reserve University in the United States. The test bench is composed of a motor, a coupling, a torque sensor, a power meter, and a bearing. figure 1 As shown, the testing objects of the test bench are the driving end bearing and the fan end bearing of the driving motor. The bearing models are: 6205-2RS JEM SKF and 6203-2RS JEM SKF respectively, and the sampling frequency is 12kHz. The whole setup is driven by a motor that transmits torque from the motor along a torque sensor to a dynamometer at the output.

[0039] The data used in the present invention is a group of data numbered OR014@6_3.mat among the data measured by the above-mentioned test bench provided by Western Reserve University of the United States. According to the recent article "Rollingelement bearing diagnostics us...

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Abstract

Based on the deconvolution method guided by the harmonic-to-noise ratio, the collected vibration signal is first truncated and de-averaged; then the truncated signal is directly deconvoluted, taking into account the impact and periodic characteristics of the fault, and the kurtosis The harmonic-to-noise ratio is used as the objective function to simultaneously find the iterative expression, thereby greatly reducing the interference of random impacts; finally, the envelope analysis is performed on the deconvoluted signal, and the fault characteristic frequency can be extracted from the envelope spectrum. The invention does not require human participation in the extraction process of the characteristic frequency, which is beneficial to realize the automation of fault characteristic extraction and diagnosis and monitoring, saves time and has higher efficiency.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of mechanical equipment, in particular to a Harmonics-to-Noise Ratio Guided Deconvolution (HNRGD) method based on Harmonics-to-Noise Ratio Guided Deconvolution (HNRGD). Background technique [0002] Vibration analysis is one of the most effective methods for fault diagnosis of mechanical equipment at this stage, and the state degradation of mechanical equipment often manifests as changes or abnormalities in vibration information. Kurtosis is an effective index to describe the impact of the signal. When the vibration signal shows obvious impact, the kurtosis value is larger, and it is widely used in the monitoring and diagnosis of mechanical systems. In 2007, the minimum entropy deconvolution (MED) method was first applied to the field of fault diagnosis of rolling bearings by scholars such as Sawalhi and Randall, and achieved certain results. MED is a signal time-domain blind deconvolutio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/04
CPCG01M13/045
Inventor 林京苗永浩赵明雷亚国王琇峰
Owner XI AN JIAOTONG UNIV