Fault diagnosis method for electromechanical equipment based on gray model

A gray model, electromechanical equipment technology, applied in mechanical equipment, machine/engine, electrical test/monitoring, etc., can solve problems such as environmental pollution, leakage, and threat to the life safety of operators

Inactive Publication Date: 2018-09-07
上海智容睿盛智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Once the staff misuse or cause an accident due to untimely equipment maintenance, it is very easy to explode or leak toxic substances, which not on

Method used

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  • Fault diagnosis method for electromechanical equipment based on gray model
  • Fault diagnosis method for electromechanical equipment based on gray model
  • Fault diagnosis method for electromechanical equipment based on gray model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0164] Taking the common centrifugal pump and pipeline system in the pipe gallery as an example, the application steps of the research parameter estimation method are as follows:

[0165] (1) For the centrifugal pump system, collect variable information related to the system. It mainly includes data information such as input variables, output variables and state variables, where the input variable is the rotational angular velocity ω of the centrifugal pump, the state variable is the maximum flow rate M of the pump, and the output variable is the specific energy Y of the pump. The parameters related to the above variables are: the first coefficient a of the momentum equation ac , the second coefficient a of the momentum equation R , the first coefficient of pump specific energy h ω , the second coefficient of pump specific energy h M .

[0166] (2) Construct the process equations of measurable input variables and output variables of the system by using the conservation law...

Embodiment 2

[0191]The bearing in the engine is an important part. The engine bearing operates in a complex working environment such as high temperature, high pressure, and friction. There will inevitably be problems with friction loss, cracks, and excessive wear. There will be serious consequences in time. The bearing loss rate is a measure of the wear degree of the bearing. When the loss rate is lower than a threshold, it can operate normally. When the bearing loss rate is higher than the threshold, the bearing needs to be replaced immediately. If there is a way to predict the loss rate of aircraft bearings in advance, and once the loss rate reaches a certain threshold, the alarm will be issued in advance, which can greatly reduce the incidence of accidents, which not only has important social significance, but also can effectively reduce maintenance. cost. Therefore, according to the historical data of the bearing loss rate in the system, a prediction model based on data mining is esta...

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Abstract

The invention provides a fault diagnosis method for electromechanical equipment based on a gray model, which comprises the steps of first, collecting operation parameters of the current electromechanical equipment; second, enabling the collected operation parameters to serve as an original modeling sequence, building a gray model, and predicting relevant data in the system by using a prediction model; third, obtaining sample data of the operation parameters of the electromechanical equipment in different fault states, building a reference model of faults of the electromechanical equipment, finding out a fault source of the system and determining a fault parameter of the system; fourth, magnifying the variation trend of the data, performing fault diagnosis, performing consistency checking on a predicted value and a solution of an analytical model, substituting the predicted result into a parameter estimation model to solve, obtaining a predicted value of the fault parameter at a futuremoment, predicting the fault parameter according to the prediction model and the parameter estimation model, and judging a fault cause according to a mechanical relationship between the variables. Thefault diagnosis method can realize diagnosis for the fault type of the electromechanical equipment during the operation.

Description

technical field [0001] The invention relates to a fault diagnosis method for electromechanical equipment, in particular to a gray model-based fault diagnosis method for electromechanical equipment. Background technique [0002] The pipe gallery construction industry is usually under harsh environmental conditions, and the gallery body is prone to produce flammable, explosive, toxic and harmful gases. Once the staff misuse or cause an accident due to untimely equipment maintenance, it is very easy to cause an explosion or leakage of toxic substances, which not only causes huge economic losses, but also causes irreparable pollution to the environment, and even seriously threatens the life safety of operators. With the continuous advancement of information automation technology, the scale of pipe gallery buildings is also constantly expanding, and the production system is developing in the direction of continuity and integration. Based on the high-risk considerations of the pi...

Claims

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Application Information

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IPC IPC(8): G05B23/02F04D15/00
CPCG05B23/0243F04D15/0088G05B2219/24065G16Z99/00
Inventor 江凤罗莹
Owner 上海智容睿盛智能科技有限公司
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