Planetary gear fault diagnosis method

A planetary gear and fault diagnosis technology, which is applied in the direction of machine gear/transmission mechanism testing, measuring devices, instruments, etc., can solve the problems of difficult and accurate identification of fault characteristics and fuzzy similarity

Active Publication Date: 2016-12-07
SHANDONG ZHONGHENG OPTOELECTRONIC TECH CO LTD
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Problems solved by technology

However, in the comparison process of actual signal similarity, the degree of similarity is continuous and fuzzy, and it is difficult to accurately identify fault characteristics through simple threshold setting

Method used

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  • Planetary gear fault diagnosis method

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Embodiment Construction

[0074] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0075] Such as figure 1 As shown, a kind of complete overall empirical mode decomposition (CompleteEnsemble Empirical Mode DecompositionWithAdaptive Noise, hereinafter referred to as CEEMDAN) and fuzzy entropy fault diagnosis method of the planetary gear described in the invention comprises the following steps:

[0076] 1) Acquisition of vibration signals Use a vibration sensor to measure the vibration signals of the planetary gearbox housing. The vibration signals obtained include five types: normal state of the planetary transmission sun gear, broken teeth state, few teeth state, gear wear and tooth root cracks;

[0077] The planetary gear failure experiment was carried out on the DDS mechanical failure comprehensive simulation test bench of Spectra Quest Company in the United States. In this experiment, five states of planetary ge...

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Abstract

The invention discloses a planetary gear fault diagnosis method based on self-adaptive noise complete ensemble empirical mode decomposition and fuzzy entropy. Firstly an original signal is decomposed by adopting a self-adaptive noise complete ensemble empirical mode decomposition method so that high-quality complete intrinsic mode functions are acquired, and a fault feature quantitative parameter-fuzzy entropy capable of more accurately describing the signal stability and complexity is provided for each intrinsic mode function. The fuzzy entropy of each intrinsic mode function act as a fault feature which acts as input of an MLP neural network, and the mean square error acts as the training standard of the MLP neural network. The MLP neural network is trained by using training samples, and identification and classification of planetary gear fault types can be realized by using the completely trained MLP neural network. The method is high in self-adaptability, high in accuracy and complete in the identifiable fault types so that completeness of the original algorithm can be enhanced, multiple fault feature information can be accurately and effectively extracted and planetary gear fault identification and diagnosis can be realized.

Description

technical field [0001] The invention belongs to the technical field of planetary gear fault diagnosis and relates to a planetary gear fault diagnosis method based on self-adaptive noise complete overall empirical mode decomposition and fuzzy entropy. Background technique [0002] Planetary gear transmission has the advantages of small size, light weight and large transmission ratio, and is widely used in key parts of large and complex equipment transmission systems. Planetary gears often work in harsh environments and bear excessive loads, resulting in frequent failures, seriously affecting the reliability of mechanical equipment, and even leading to major accidents. Due to the influence of complex structure, installation error and working conditions, there are more amplitude modulation and frequency modulation phenomena, showing stronger nonlinear and non-stationary characteristics. Therefore, how to diagnose planetary gear faults is a hot spot of current research. Throug...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/02
CPCG01M13/021G01M13/028
Inventor 程刚李勇陈曦晖
Owner SHANDONG ZHONGHENG OPTOELECTRONIC TECH CO LTD
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