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State monitoring and fault diagnosis method and device for hydraulic system

A hydraulic system and fault diagnosis technology, applied in the field of hydraulic systems, can solve problems such as difficult monitoring and inaccurate fault prediction

Pending Publication Date: 2022-06-03
BEIJING MECHANICAL EQUIP INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above analysis, the embodiment of the present invention aims to provide a state monitoring and fault diagnosis method of a hydraulic system to solve the problems of difficult monitoring and inaccurate fault prediction in the prior art

Method used

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  • State monitoring and fault diagnosis method and device for hydraulic system
  • State monitoring and fault diagnosis method and device for hydraulic system
  • State monitoring and fault diagnosis method and device for hydraulic system

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Experimental program
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Embodiment 1

[0082] A specific embodiment of the present invention discloses a state monitoring and fault diagnosis method for a hydraulic system, such as figure 1 shown, including the following steps:

[0083] S1. Arrange multi-information sensors in the hydraulic system to monitor the running status of the corresponding parts in real time;

[0084] S2. When any operating state changes, extract the feature information corresponding to the state and input it into the pre-trained deep neural network to obtain the probability of failure of each part of the hydraulic system;

[0085] S3. Normalize the probability of failure of the above-mentioned parts, and input the normalized results into the pre-trained D-S evidence decision-making model to obtain the most likely failure parts and failure levels, and push them to the operator.

[0086] During implementation, the key components (parts) of the hydraulic system can be monitored and detected through the methods of steps S1 to S3.

[0087] Co...

Embodiment 2

[0089] On the basis of the method described in Embodiment 1, the multi-information sensor in step S1 includes at least one of a pressure sensor, a flow sensor, a vibration sensor, and a temperature sensor.

[0090] The hydraulic system includes a hydraulic pump 3, a reversing valve 4, a (one-way) speed control valve 5, a hydraulic cylinder 6, and a proportional relief valve 7. The specific structure is as follows figure 2 shown.

[0091] Preferably, step S1 further comprises:

[0092] S11. Arrange pressure sensors at the oil outlet of the hydraulic pump 3, the positive and negative chambers of the hydraulic cylinder 6, the reversing valve 4 and the speed regulating valve 5;

[0093] S12. Arrange a flow sensor at the oil outlet of the hydraulic pump 3;

[0094] S13. Vibration sensors are arranged on key parts such as hydraulic pump 3, motor 2, the surface of hydraulic mechanical locking cylinder or friction pair parts;

[0095] S14. Arrange temperature sensors at the oil ou...

Embodiment 3

[0121] The present invention also discloses a state monitoring and fault diagnosis device for a hydraulic system corresponding to the method in Embodiment 1, comprising multi-information sensors, a preprocessing module, and a fault diagnosis module connected in sequence, such as image 3 shown.

[0122] Multi-information sensors are used to monitor the running status of each part of the hydraulic system in real time and send it to the preprocessing module.

[0123] The preprocessing module is used to determine whether the operating state of each part of the hydraulic system has changed. When any operating state changes, extract the feature information corresponding to the state, input the pre-trained deep neural network, and obtain the various parts of the hydraulic system. The probability of failure is transmitted to the fault diagnosis module.

[0124] The fault diagnosis module is used to normalize the probability of failure of the above-mentioned parts, and input the norm...

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Abstract

The invention relates to a state monitoring and fault diagnosis method for a hydraulic system, belongs to the technical field of hydraulic systems, and solves the problems of difficult monitoring and inaccurate fault prediction in the prior art. The method comprises the following steps that a multi-information sensor is arranged in a hydraulic system, and the running state of a corresponding part is monitored in real time; when any running state is changed, feature information corresponding to the state is extracted and input into a pre-trained deep neural network, and the fault probability of each part of the hydraulic system is obtained; and performing normalization processing on the fault probability of each part, inputting a normalization result into a pre-trained D-S evidence decision model, obtaining a part where a fault is most likely to occur and a fault level, and pushing the parts and the fault level to an operator. According to the invention, the fault of the hydraulic system can be automatically diagnosed and the positioning function is realized.

Description

technical field [0001] The invention relates to the technical field of hydraulic systems, in particular to a method and device for state monitoring and fault diagnosis of a hydraulic system. Background technique [0002] At present, the technology of condition monitoring and fault diagnosis is more and more applied to the mechanical equipment, which greatly guarantees the safe and reliable operation of the equipment. The structure and principle of the hydraulic system are usually complicated. When a fault occurs in the hydraulic system, the fault location of the prior art is related to the professional level and experience of the operator, and traditional instrumentation equipment is needed to measure in the process of troubleshooting. [0003] The damage of any component may change the working state of the entire hydraulic system. Before the failure occurs, due to the lack of timely monitoring of the system state, the factors that may cause the failure cannot be located an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F15B19/00
CPCF15B19/00F15B19/005F15B2211/857F15B2211/87
Inventor 刘景轩陈志军苏晓岩
Owner BEIJING MECHANICAL EQUIP INST