Early fault detection method for gearbox

A technology of early failure and detection method, applied in the direction of measuring device, testing of mechanical parts, testing of machine/structural parts, etc., can solve the problems of weak early failure characteristics, difficult extraction and failure characteristics of gearboxes, and avoid major economic problems. The effect of loss, high detection rate and fast detection speed

Active Publication Date: 2020-09-01
沈阳科网通信息技术有限公司
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Problems solved by technology

[0005] In order to solve the technical problems raised by the above-mentioned background technology, the present invention aims to provide a gearbox early fault detection method to solve the problem that the early fau

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  • Early fault detection method for gearbox
  • Early fault detection method for gearbox
  • Early fault detection method for gearbox

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Embodiment

[0034] Early fault detection of gearboxes has become an important branch and research hotspot of intelligent maintenance. Some existing methods basically detect early faults based on models and signal processing, but these methods have complex modeling, low model accuracy, poor timeliness for early fault detection, and inaccurate detection results. Therefore, the present invention combines the idea of ​​depth decomposition theorem to divide the collected data in detail, so as to extract the features of weak fault information under strong noise background. At the same time, using the sliding window algorithm, taking into account the time series correlation of the data, the early fault detection ability is improved.

[0035] This embodiment takes the gearbox commonly used in mechanical equipment as an example, such as figure 1 As shown, the present invention adopts an early fault detection method based on deep recursive dynamic principal component analysis, and the specific ste...

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Abstract

The invention discloses an early fault detection method for a gearbox. The method comprises the following steps: S1, carrying out signal collection: collecting vibration signals of a gearbox in normaland fault working states, and carrying out the decomposition of the vibration signals through an empirical mode decomposition method; S2, carrying out space decomposition: decomposing the original space into a plurality of subspaces in combination with a depth decomposition theorem, and establishing a dynamic principal component model of each subspace; S3, updating the model: through a sliding window algorithm, updating the model in real time by considering the time sequence correlation of the data; and S4, carrying out control limit calculation: judging whether the gearbox has a fault or not according to the statistics and a control limit, and updating the model to recalculate the control limit. According to the invention, the dynamic principal component model is established based on deep recursion dynamic principal component analysis, so that early fault intelligent detection of the gearbox is realized. Compared with a traditional early fault detection method, the disclosed methodhas the advantages of self-adaptability, high detection rate, high detection speed and the like.

Description

technical field [0001] The invention relates to the technical field of gearbox intelligent early fault detection, in particular to a gearbox early fault detection method. Background technique [0002] With the rapid development of science and technology and modern industry, machinery and equipment in transportation, aerospace, national defense and other industries are becoming increasingly automated, integrated, high-speed and large-scale, and gearboxes have played a vital role in the development of various industries . Because the gearbox has many advantages such as small size, small mass, fixed transmission ratio, large transmission torque, compact structure, large carrying capacity, high efficiency, stable operation, and strong adaptability, it has become the most common power transmission and transmission equipment in the machinery industry. Transmission equipment that changes the speed is widely used in various mechanical equipment. Therefore, the performance of the g...

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Application Information

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IPC IPC(8): G01M13/021G01M13/028
CPCG01M13/021G01M13/028
Inventor 李献文石怀涛吴俊新郭瑾李思慧
Owner 沈阳科网通信息技术有限公司
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