A Lubrication Failure Online Prediction Method for Automatic Door System

A technology for lubricating failure and prediction methods, applied in the identification of patterns in signals, instruments, complex mathematical operations, etc., can solve problems such as excessive maintenance and waste of operating costs, unplanned downtime, high maintenance time and costs, etc.

Active Publication Date: 2021-05-14
CYBERINSIGHT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] 1) Lack of real-time monitoring, accidents will cause serious impact, and there are hidden safety hazards;
[0007] 2) Subsequent maintenance, resulting in unexpected downtime and high maintenance time and cost;
[0008] 3) Regular maintenance, resulting in excessive maintenance and waste of operating costs

Method used

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  • A Lubrication Failure Online Prediction Method for Automatic Door System
  • A Lubrication Failure Online Prediction Method for Automatic Door System
  • A Lubrication Failure Online Prediction Method for Automatic Door System

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Embodiment Construction

[0051] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.

[0052] In the drawings, components with the same structure are denoted by the same numerals, and components with similar structures or functions are denoted by similar numerals. The size and thickness of each component shown in the drawings are shown arbitrarily, and the present invention does not limit the size and thickness of each component. In order to make the illustration clearer, the thickness of parts is appropriately exaggerated in some places in the drawings.

[0053] Such as figure 1 As shown, this embodiment includes two parts: model training and online monitoring.

[0054] Model traini...

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Abstract

The invention relates to the field of automatic door lubrication, and discloses an online prediction method for lubrication failure of an automatic door system, which includes two parts: model training and online monitoring. The model training includes original data collection, data preprocessing, data segmentation, feature extraction, and feature regression. Synthesis, feature selection, establishment of lubrication decline trend model and definition of failure threshold; online monitoring includes data collection, data preprocessing, data segmentation, feature extraction, feature normalization, calculation of health and lubrication failure alarm. The present invention calculates the health index of lubrication decline in real time through real-time online monitoring process data and a complete modeling process, realizes online monitoring and early warning, and then changes the operation and maintenance strategy, from post-maintenance or over-maintenance to pre-prediction and depending on the situation maintain.

Description

technical field [0001] The invention relates to the field of automatic door lubrication, in particular to an online prediction method for lubrication failure of an automatic door system. Background technique [0002] Rail vehicle automatic door system, as an important component of rail transit equipment, due to its high frequency of use and diverse use scenarios, its performance stability and reliability are directly related to the safety of the vehicle, and the current operation and maintenance methods Mainly professional maintenance personnel provide spot checks and fixed repairs and equipment failure-driven after-the-fact maintenance (Fail-and-Fix). However, the traditional operation and maintenance method not only causes waste of operating costs, but also has invisible safety hazards . [0003] Rail vehicle doors generally use electric double-open plug doors. When the door is fully closed, the door leaf is flush with the outer surface of the vehicle. When opening the d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06F17/18
CPCG06F17/18G06F2218/10G06F18/214
Inventor 晋文静周霄天李杰刘宗长金超史喆
Owner CYBERINSIGHT TECH CO LTD
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