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A method for predicting the residual service life of equipment based on a fault evolution trend

A technology for fault evolution and life prediction, which is applied in design optimization/simulation, special data processing applications, instruments, etc., and can solve problems such as reduced prediction accuracy, long prediction time, and low efficiency.

Active Publication Date: 2019-01-08
谭晓栋
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Problems solved by technology

The existing technology does not have the comprehensive ability to analyze the feature extraction technology for the entire life process from the normal state to the complete failure state of the equipment, so that invalid features enter the prediction model, resulting in long prediction time, low efficiency, and even directly reducing the accuracy of prediction

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  • A method for predicting the residual service life of equipment based on a fault evolution trend
  • A method for predicting the residual service life of equipment based on a fault evolution trend
  • A method for predicting the residual service life of equipment based on a fault evolution trend

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specific Embodiment

[0085] Specific embodiments: taking roller bearings as an example, the present invention is described in detail:

[0086] 1. Remaining service life prediction data source acquisition:

[0087] S101. Using a roller bearing fault test bench to obtain a remaining service life prediction data source;

[0088] Roller bearing fault test bench such as figure 2 As shown, the four bearings are installed on the same shaft, and the motor drives the motor to drive the drive shaft and the bearings to rotate. From left to right, 1 measuring point is set in the Y direction of the 4 bearing seats, and the 4 measuring points are defined as T I ={t 1 ,t 2 ,t 3 ,t 4}, namely N T = 4, used to collect the vibration data during the whole life of the bearing.

[0089] The specific test process is as follows: from the beginning of the test to the data collection process of automatic shutdown, the vibration signal in the Y direction of the bearing is collected through 4 measuring points every ...

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Abstract

The invention discloses a method for predicting the residual service life of equipment with a fault evolution trend. The method comprises the following steps: selecting the test point data with the largest capability of characterizing the monotonic trend of the fault evolution process as a data source for predicting the residual service life; By choosing the statistical features with the greatestcomprehensive ability to the fault evolution process as the prediction features of the residual service life prediction model, inputting the prediction model; predicting the remaining service life ofthe equipment by the prediction model. The method can provide efficient data source and prediction characteristic input for the residual life prediction method, ensure that the accuracy of the residual service life prediction of the equipment is more efficient and accurate, and reduce or avoid the occurrence of major accidents caused by the sudden failure of the equipment.

Description

technical field [0001] The invention belongs to the technical field of equipment safety management, and in particular relates to a method for predicting remaining service life of equipment based on fault evolution trend. Background technique [0002] The remaining life prediction of equipment is the key to realize predictive maintenance, condition maintenance and health management technology, and it is of great significance to effectively improve the operation efficiency of equipment and reduce costs and risks. [0003] At present, the known methods for predicting the remaining service life of equipment focus on data processing, feature extraction and prediction methods, etc., using time domain, frequency domain or time-frequency domain combined methods to extract fault features from the original signal interfered by complex noise, and then using An intelligent algorithm predicts the remaining useful life. But, there is following problem in known method: [0004] First, fo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 谭晓栋黄娟张婧周梓鑫
Owner 谭晓栋
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