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Planetary gear box tooth surface abrasion fault diagnosis method and system

A planetary gearbox and fault diagnosis technology, which is applied in the testing of instruments, machine/structural components, wind power generation, etc., can solve problems such as extraction and difficult fault characteristics, and achieve the effects of improving efficiency, realizing accurate extraction, and reducing the processing range

Active Publication Date: 2021-01-29
BEIJING INFORMATION SCI & TECH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The complex frequency situation in the planetary gearbox vibration signal makes it difficult to directly extract the fault characteristics. More is to analyze the meshing frequency and its multiplier as the carrier frequency, and the sidebands with intervals such as the fault characteristic frequency to realize the fault characteristics. Extraction, the fault diagnosis of planetary gearbox cannot be realized directly through the occurrence of fault characteristic frequency

Method used

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  • Planetary gear box tooth surface abrasion fault diagnosis method and system
  • Planetary gear box tooth surface abrasion fault diagnosis method and system
  • Planetary gear box tooth surface abrasion fault diagnosis method and system

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Embodiment 1

[0044] In this embodiment, a planetary gearbox tooth surface wear fault diagnosis method based on FSWT and MOMEDA is provided. This method performs FSWT analysis on the original signal, extracts the frequency band that contains the most abundant transient pulses, and performs signal reconstruction on the frequency slice interval. structure to extract the fault signal in the signal. The Hilbert transform is performed on the reconstructed signal, and the fault information is separated from the complex amplitude modulation part of the signal to obtain a low-frequency modulation signal. Combining with the theoretical fault cycle and selecting the appropriate cycle interval, the MOMEDA (Multi-point Optimal Adjusted Minimum Entropy Deconvolution) algorithm is used to effectively extract the periodic fault impact component in the modulated signal. Highlight the transient energy components in the signal through the square envelope spectrum, and identify the fault characteristic freque...

Embodiment 2

[0103] In this embodiment, a planetary gearbox tooth surface wear fault diagnosis system is provided, which is characterized in that it includes: a first processing module, a second processing module, a third processing module, an envelope spectrum analysis module and an HEI quantification module;

[0104] The first processing module adopts FSWT to select the frequency band of the original vibration signal and perform signal reconstruction;

[0105] The second processing module performs Hilbert transformation on the reconstructed signal to obtain a low-frequency modulation signal;

[0106] The third processing module uses the MOMEDA algorithm to extract the periodic fault pulse in the low-frequency modulation signal to obtain the fault signal;

[0107] The envelope spectrum analysis module analyzes the square envelope spectrum of the fault signal, highlights the transient energy components in the fault signal, and identifies the fault characteristic frequency gathered in the low...

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Abstract

The invention relates to a planetary gear box tooth surface wear fault diagnosis method and system, and the method comprises the steps: carrying out the frequency band selection of an original vibration signal through FSWT, and carrying out the signal reconstruction; performing Hilbert transformation on the reconstructed signal to obtain a low-frequency modulation signal; extracting periodic faultpulses in the low-frequency modulation signal by adopting an MOMEDA algorithm to obtain a fault signal; performing square envelope spectrum analysis on the fault signal, highlighting a transient energy component in the fault signal, and identifying a fault characteristic frequency gathered at a low frequency band; carrying out HEI quantization processing on the fault signals, and achieving the fault diagnosis of tooth surface abrasion of the planetary gear box. According to the method, the fault characteristic frequency of the planetary gear box can be directly and accurately extracted, and then the tooth surface abrasion fault of the planetary gear box is researched and analyzed.

Description

technical field [0001] The invention relates to the technical field of gear fault diagnosis, in particular to a FSWT and MOMEDA-based planetary gearbox tooth surface wear fault diagnosis method and system. Background technique [0002] In the context of the rapid growth of the cumulative installed capacity of wind turbines around the world, unit failures caused by component failures occur frequently. Among them, the faults that cause the longest downtime are mainly concentrated in the gearbox transmission system of wind turbines. Timely and effective monitoring of various abnormal states or faults of the gearbox can prevent or eliminate various faults in advance, reduce maintenance time and costs, prolong the service life of the unit, and improve the power generation efficiency and safe operation of the unit. It can be seen that it is very necessary to monitor various abnormal states or faults of wind turbines in a timely and effective manner. The complex frequency situatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/021G01M13/028G06F17/14G06F17/15
CPCG01M13/021G01M13/028G06F17/148G06F17/156Y02E10/72
Inventor 蒋章雷李宇恒吴国新刘秀丽
Owner BEIJING INFORMATION SCI & TECH UNIV
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