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Predictive maintenance model and maintenance method for wave-activated generator

A generator, predictive technology, used in forecasting, electrical digital data processing, CAD numerical modeling, etc., can solve problems such as loss, and achieve the effect of overcoming strong subjectivity

Inactive Publication Date: 2021-08-06
CHANGZHOU INST OF MECHATRONIC TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, accident repair and planned maintenance are mainly used for maintenance. The "accident repair" method uses the equipment until it breaks down, and then repairs it. In case of a sudden accident, it may cause huge losses.

Method used

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  • Predictive maintenance model and maintenance method for wave-activated generator
  • Predictive maintenance model and maintenance method for wave-activated generator
  • Predictive maintenance model and maintenance method for wave-activated generator

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] Embodiment 1 provides a wave generator predictive maintenance model, including:

[0089] Z c =w * x c ;

[0090] Among them, Z c for the current data as x c at w * The value obtained after vector axis projection;

[0091] Then the current health degree J of wave generator operation is:

[0092] When Z c ≤μ 1 +δ 1 When , the health degree J of wave generator operation is 0;

[0093] When Z c ≥ μ 2 -δ 2 , the health degree J of the wave generator is 1;

[0094] when μ 1 +δ 1 ≤Z c ≤μ 2 -δ 2 When , the health degree J of wave generator operation is:

[0095]

[0096] w * is the best transformation vector; μ 1 works fine for class data in w * Mean value of the data obtained after vector axis projection; μ 2 For the data of the failure category in w * The mean value of the data obtained after vector axis projection; δ 1 works fine for class data in w * The standard deviation of the data obtained after vector axis projection; δ 2 For the data of ...

Embodiment 2

[0099] figure 1 It is a flow chart of the wave generator predictive maintenance method involved in the present invention.

[0100] like figure 1 As shown, on the basis of embodiment 1, this embodiment 2 provides a method for predictive maintenance of wave generators, including: collecting parameter data for predictive maintenance of wave generators; acquiring fault characteristics of wave generator bearings according to parameter data Frequency; obtain the circular autocorrelation function and power spectral density of the vibration signal in the parameter data according to the fault characteristic frequency; obtain the best projection direction of one-dimensional space according to the sample data of power spectral density; predict the wave according to the best projection direction of one-dimensional space Generator operation health; and early warning of wave generator operation based on wave generator operation health, which realizes prediction and early warning of wave ge...

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Abstract

The invention belongs to the technical field of fault diagnosis and monitoring of a wave power generation system, and particularly relates to a predictive maintenance model and method for a wave-activated generator, and the method comprises the steps: collecting parameter data for predictive maintenance of the wave-activated generator; obtaining the fault characteristic frequency of the wave-activated generator bearing according to the parameter data; acquiring a cyclic autocorrelation function and power spectral density of a vibration signal in the parameter data according to the fault characteristic frequency; obtaining the optimal projection direction of the one-dimensional space according to the sample data of the power spectral density; predicting the running health degree of the wave-activated generator according to the optimal projection direction of the one-dimensional space; and performing early warning on the operation of the wave-activated generator according to the operation health degree of the wave-activated generator, so the prediction and early warning of faults of the wave-activated generator are realized, and the defects of high subjectivity and higher labor cost of manual maintenance are overcome.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis and monitoring of a wave energy power generation system, and in particular relates to a predictive maintenance model and a maintenance method for a wave generator. Background technique [0002] The bearing is a key part of the wave generator, which plays a role in supporting the rotating structure of the mechanical system. Failure of the bearing can easily lead to wear of other important components in the mechanical system. The faults of motor rolling bearings usually include wear and damage faults. When a wear failure occurs, the clearance of the motor bearing parts will continue to increase with the increase of wear, which may cause the vibration of the bearing to increase during operation. At this time, the vibration signal of the motor bearing will change randomly, and there is no uniform change rule to follow. Damage faults are faults caused by metal peeling, pitting or scratches on...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06F30/20G06F17/15G06F17/18G06Q10/00G06Q10/04G06Q50/06G06F111/10G06F119/02
CPCG06F17/15G06F17/18G06Q10/04G06Q10/20G06Q50/06G06F30/17G06F30/20G06F2111/10G06F2119/02
Inventor 王涛乔宏哲楼竞
Owner CHANGZHOU INST OF MECHATRONIC TECH
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