Method for diagnosing early weak fault signal features of marine machinery

A technology of fault signal and diagnosis method, which is applied to the recognition of patterns in signals, computer components, instruments, etc., to achieve the effect of improving weak signal enhancement performance, ensuring similarity, and overcoming instability

Pending Publication Date: 2021-06-29
JIANGSU UNIV OF SCI & TECH
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Problems solved by technology

[0005] In order to solve the technical problem of enhanced detection of weak fault features of ship equipment in a strong noise environment and improve the performance of early weak fault feature extraction of ship machinery, the present invention provides a feature diagnosis method for early weak fault signals of ship machinery

Method used

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  • Method for diagnosing early weak fault signal features of marine machinery
  • Method for diagnosing early weak fault signal features of marine machinery
  • Method for diagnosing early weak fault signal features of marine machinery

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Embodiment

[0096] In order to verify the validity of the weak feature extraction diagnostic method of the variable-scale plastic monostable structure stochastic resonance system, taking the weak useful signal enhancement extraction in the vibration signal of the ship machinery equipment bearing as an example, the 6205-2RS JEMSKF deep groove ball bearing was selected Diagnose the fault of the outer ring of the bearing. The working condition of the bearing is a strong noise background D=8, the speed is 1796rpm, the load is 0HP, the diameter of the bearing fault is 0.007 inches, the sampling frequency fs is 12000, and the number of sampling points is 12000 points. The main structural parameters of the faulty bearing are shown in Table 1.

[0097] Table 1: Main structural parameters of faulty bearings

[0098]

[0099] Firstly, the noisy signal is demodulated and filtered. The theoretical frequency of the fault is 107.36Hz, and the actual frequency of the fault is close to the theoretical...

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Abstract

The invention relates to a method for diagnosing early weak fault signal features of marine machinery, and discloses a method for extracting and diagnosing stochastic resonance weak features of a variable-scale plastic monostable structure. The monostable well depth, the well radius and the steep degree of the potential well wall are used as potential structure feature parameters, the stochastic resonance model of the plastic potential structure is finely constructed, matching of the potential structure and fault features is guaranteed, and the weak fault feature enhancement extraction capability is improved; then, multi-parameter objective function optimization based on weighted kurtosis indexes is designed to carry out enhanced extraction on the fault features of the ship mechanical equipment, and a reliable basis is provided for diagnosis of early weak fault features of the ship machinery; and the application defects of instability of transition between particle traps and limitation of small parameters are overcome, effective fault diagnosis and qualitative analysis of ship mechanical equipment are achieved, and even under strong noise interference, larger weighted kurtosis and higher characteristic frequency spectrum peaks are still obtained.

Description

technical field [0001] The invention belongs to the field of equipment fault signal diagnosis, and in particular relates to a method for diagnosing characteristics of early weak fault signals of ship machinery. Background technique [0002] The complexity and enlargement of marine machinery and equipment have brought about an increase in the number of parts, coupled with the harsh and changeable working environment, resulting in damage to tiny rotating parts that triggers an impact response. The weak fault signal not only means that the amplitude of the signal is very small, but more importantly, it means that the amplitude of the useful signal is very weak relative to the background noise. The complex rigid transmission structure and transmission path from the weak fault source to the collection point of the marine machinery equipment, the mutual coupling of the excitation and response of each component vibration source and the multi-scale noise weaken the fault characteris...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G01H17/00
CPCG01H17/00G06F2218/04G06F2218/08G06F2218/12
Inventor 朱志宇崔石玉李梓涵魏海峰
Owner JIANGSU UNIV OF SCI & TECH
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