Weak fault parallel-connected random resonance detection method of low-speed heave-load device

A stochastic resonance, low-speed and heavy-load technology, used in vibration testing, mechanical bearing testing, and machine/structural component testing. Requirements, the effect of enriching content

Inactive Publication Date: 2009-09-23
BEIJING UNIV OF TECH
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Problems solved by technology

In recent years, there have been many reports on the use of stochastic resonance technology for the detection and identification of periodic signals. According to existing theories, after the signal passes through a single-stage stochastic resonance system, the high-frequency part of the signal is effectively suppressed, and the energy is transferred to the low frequency. However, the

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  • Weak fault parallel-connected random resonance detection method of low-speed heave-load device
  • Weak fault parallel-connected random resonance detection method of low-speed heave-load device
  • Weak fault parallel-connected random resonance detection method of low-speed heave-load device

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Embodiment Construction

[0021] The present invention will be further described below in conjunction with accompanying drawing:

[0022] figure 1 In the working flow chart of the present invention, the vibration signal of the early failure of the equipment is extracted by the acceleration sensor, then amplified by the amplifier and filtered, converted into a digital signal by the analog-to-digital converter, and then sent to the parallel stochastic resonance module for processing.

[0023] figure 2 It is the working principle diagram of parallel stochastic resonance of the present invention, and its specific algorithm flow is as follows:

[0024] 1) will be given by figure 1 The digital signals after the analog-to-digital conversion are respectively introduced into the stochastic resonance systems connected in n layers in parallel (n=4 in this example). According to the stochastic resonance theory, for the bistable system that the periodic signal and the noise act together:

[0025] ...

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Abstract

The invention discloses a weak fault parallel-connected random resonance detection method of a low-speed heave-load device for detecting weak fault signals of a device. The method comprises extracting a device vibration signal through a vibration sensor mounted on a position to be detected, amplifying and filtering the signals, and converting analogue signals into digital signals through an analog-digital converter, then processing by a parallel-connected random resonance method for output. The fault type is determined by extracting the weak characteristics of fault signals from the waveform of the output signal and the spectrogram thereof. The method combines random resonance method and self-correlation processing method, can effectively extract early weak fault characteristic signals in the low-speed heavy-load device so as to find fault hidden dangers ahead of time.

Description

technical field [0001] The invention relates to a fault detection method for low-speed heavy-duty equipment, in particular to a method for detecting weak faults in low-speed heavy-duty equipment in parallel with stochastic resonance. Background technique [0002] Low-speed heavy-duty equipment (such as bucket wheel stacker and reclaimer, cement rotary kiln ring gear, industrial excavator, subway tunnel boring machine, cement mill transmission equipment, coal unloading dumper, screw conveyor, port ship unloader, door Pedestal cranes, wind power speed-increasing gearboxes, large-scale slewing bearings for blast furnace top airtight boxes without material bells, ladle rotating towers, and steelmaking converters, etc.) are key equipment in modern industry. The reaction seriously affects the production and economic benefits of the enterprise. For example, the rotating current of the transmission gearbox on the top of a blast furnace in a factory increased. After the distributor ...

Claims

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Application Information

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IPC IPC(8): G01M7/02G01M13/04
Inventor 胥永刚常海高立新马海龙宫能春崔玲丽李建设王燕李文斌叶辉周兵
Owner BEIJING UNIV OF TECH
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