Health evaluation method for hydraulic system based on fault observer and SOM (self-organized mapping)

A technology for hydraulic system and health assessment, applied in fluid pressure actuation system testing, fluid pressure actuation system safety, fluid pressure actuation device, etc. , the effect of reducing dependencies, improving generality and accuracy

Inactive Publication Date: 2012-07-25
BEIHANG UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problems of poor evaluation effect, poor robustness and dependence on historical data of the existing methods when

Method used

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  • Health evaluation method for hydraulic system based on fault observer and SOM (self-organized mapping)
  • Health evaluation method for hydraulic system based on fault observer and SOM (self-organized mapping)
  • Health evaluation method for hydraulic system based on fault observer and SOM (self-organized mapping)

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Embodiment

[0084] This example uses the simulation data of the hydraulic system (hydraulic servo system) for verification. Using the sample signals of the normal state of the hydraulic servo system and the degradation of its electronic amplifier performance, the health assessment method of the hydraulic system based on the combination of the fault observer and the self-organizing map of the present invention is tested and verified, and the specific steps are as follows:

[0085] Step 1: Establish a fault observer to obtain the residual signal of the hydraulic system.

[0086] It is known that the input signal of the hydraulic system is sinusoidal, the amplitude is 28, the frequency is 4π, and the noise interval of the hydraulic system is [-0.2, 0.2]. According to the simulation model of the hydraulic system, the output signal of the hydraulic system can be obtained. Large amount of data, such as Figure 5 For the input signal of the hydraulic system, such as Image 6 It is the output ...

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Abstract

The invention provides a health evaluation method for a hydraulic system based on a fault observer and SOM (self-organized mapping). The method includes: firstly, training the fault observer by the aid of input and output signals of the hydraulic system in a normal operation state to acquire residual signals in the normal state; secondly, acquiring residual signals of a certain component in a degenerate state through the fault observer by the aid of input and output signals of the degenerate component in the system; thirdly, extracting time-domain features of the residual signals in the two states and building a self-organized mapping model by the aid of residual features in the normal state; and finally, inputting residual features of the degenerate component to the self-organized mapping model to acquire the health degree of the hydraulic system in the corresponding states, and judging whether the current hydraulic system can continue running or not by the aid of the lowest health threshold value. The health evaluation method is used for evaluating health of the hydraulic control system in real time, is fine in evaluation effect, reduces dependency on historical data, and has engineering practicability.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of a hydraulic system, in particular to a health assessment method of a hydraulic system based on the combination of a fault observer and a self-organizing map (SOM). Background technique [0002] Due to the continuous improvement of the level of science and technology, the level of automation and intelligence of mechanical equipment has increased significantly, and the mechanical structure has become more and more complex. Reliability plays an important role in industrial products. However, no matter how high the reliability of the product is, due to the influence of factors such as excessive load and harsh working conditions, the performance of the machine will continue to degrade over time, and the equipment will eventually fail. As an effective way, machinery and equipment maintenance can ensure the continuous high reliability of machinery and equipment to a certain extent. However, r...

Claims

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Application Information

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IPC IPC(8): F15B19/00F15B20/00
Inventor 陶小创刘大伟翟秀梅樊焕贞刘红梅吕琛
Owner BEIHANG UNIV
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