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A gear condition monitoring index extraction method based on kl divergence and root mean square value

A technique of KL divergence, RMS value, used in the testing of mechanical components, testing of machine/structural components, measuring devices, etc.

Active Publication Date: 2020-04-28
苏州微著设备诊断技术有限公司
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  • Application Information

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Problems solved by technology

At present, there is no method for extracting gear condition monitoring indicators that combines time-domain synchronous average method, KL divergence and root mean square value

Method used

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  • A gear condition monitoring index extraction method based on kl divergence and root mean square value
  • A gear condition monitoring index extraction method based on kl divergence and root mean square value
  • A gear condition monitoring index extraction method based on kl divergence and root mean square value

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Embodiment Construction

[0034] The present invention will be further described in detail below through the fatigue life data of a vehicle axle in conjunction with the accompanying drawings and embodiments.

[0035] Such as figure 1 As shown, a gear condition monitoring index extraction method based on KL divergence and root mean square value includes the following steps:

[0036] Step 1: Sampling the original vibration signal of the normal gearbox through the vibration acceleration sensor, sampling the key phase signal of the normal gearbox through the photoelectric sensor, and the sampling frequency is 5767Hz. The axle gearbox is a three-stage transmission, and the structure is as follows figure 2 As shown, its structural parameters are as follows: input shaft speed n = 1352rpm, the first stage is a spur gear pair meshing, the number of teeth of the driving wheel z 1 =23, the number of teeth of the driven gear z 2 =48; the second stage is the meshing of spur gears, the number of teeth of the driv...

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Abstract

The invention relates to a gear state monitoring index extraction method based on KL divergence and root mean square values. According to the method of the invention, the influence of rotation speed fluctuation is eliminated through key phase information and by means of angle domain re-sampling; stable modulated signals are obtained through a time domain synchronous averaging method; one-times meshing frequencies and three-times side frequencies are filtered out through cut-off filtering; an exact meshing frequency and side frequencies are determined through using amplitude search; the amplitude of the meshing frequency is increased so as to exceed the sum of the amplitudes of the side frequencies; Hilbert transformation is adopted to solve a signal envelope, so that envelope signals can be obtained; 30 sets of numbers are selected, an KL divergence trend graph and a normalized RMS value trend graph are drawn; and the operating state of a gear is evaluated on the basis of a KL divergence trend and a normalized RMS value trend. With the method of the invention adopted, the state monitoring of a gear case is effectively performed, and misjudgment is unlikely to occur.

Description

technical field [0001] The invention belongs to the technical field of gear state monitoring index extraction, and in particular relates to a gear state monitoring index extraction method based on KL divergence and root mean square value. Background technique [0002] The gear transmission system is a general-purpose connecting device and power transmission device in mechanical equipment, which is used in many fields. Because gears have extremely complex processing technology and high assembly precision, and often work in high-speed or heavy-duty working environments, the failure rate of gears is high, which is one of the important reasons for mechanical equipment failure or failure to work. Therefore, it is of great engineering significance to realize gear condition monitoring by extracting accurate and effective gear operating condition indicators. [0003] Defects or faults in the gear itself, or faults such as shaft bending, will cause abnormal gear vibration. The vibra...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/021G01M13/028
CPCG01M13/021G01M13/028
Inventor 王琇峰李若松郭美娜
Owner 苏州微著设备诊断技术有限公司
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