System and method for predicting fault of working arm reducer of tunneller.

A technology of fault prediction and reducer, applied to instruments, measuring devices, etc., to achieve the effects of wide application range, lower configuration requirements, and less unplanned maintenance time

Active Publication Date: 2019-03-01
AVIC SHANGHAI AERONAUTICAL MEASUREMENT CONTROLLING RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, in mines with poor operating conditions, operators often neglect equipment maintenance, and will not start emergency measures to replace parts until a failure causes a shutdown. In order to resume production as soon as possible, they often have to pay a huge economic price

Method used

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  • System and method for predicting fault of working arm reducer of tunneller.
  • System and method for predicting fault of working arm reducer of tunneller.

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Experimental program
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Effect test

Embodiment

[0065] like figure 1 As shown, the failure prediction system of the working arm reducer of the roadheader in the present invention is composed of the vehicle part (vehicle acquisition and alarm processing device, sensor, cache card) and the ground part (ground data hard disk, ground data processing software).

[0066] like figure 2 As shown, the specific implementation of the method of the present invention based on the system structure comprises the following steps:

[0067] S1: The on-board collection and alarm processing device collects 50 hours of data in advance and stores them in the ground data station, and uses data processing software to generate an initial threshold, which is updated every 500 hours thereafter.

[0068] S2: The on-board collection and alarm processing device conducts real-time analysis and processing of the state parameter information transmitted by the sensor, and judges whether the current health characteristics of the reducer exceed the standard...

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Abstract

The invention discloses a system and method for predicting the fault of a working arm reducer of a tunneller. The system comprises a vehicle-mounted part and a ground part. The system is capable of realizing state parameter monitoring and potential fault prediction of a gearbox of a working arm of a tunneller. The vehicle-mounted unit collects using state parameters of the gearbox of the working arm of the tunneller, carries out feature extraction and alarm judgment on the using state parameters, and determines an alarm part and generates a maintenance suggestion code. The ground system downloads data collected by the vehicle-mounted part and carries out data analysis to realize potential fault prediction and discovered fault location of a key part. With the system and method, the economyand safety of the running of the tunneller are improved.

Description

technical field [0001] The invention relates to the field of fault prediction, in particular to a system and method for fault prediction of a working arm reducer of a roadheader. Background technique [0002] Modern roadheader is a kind of engineering equipment with complex structure. Its structure consists of not only mechanical transmission parts, but also automation devices such as hydraulic pressure and control circuits. The working site of the roadheader is usually located tens of meters or even hundreds of meters below the ground, with high temperature, high humidity, a lot of falling rocks, a lot of dust, and often accompanied by explosive gas, the working environment is very harsh. The working task of the roadheader is mainly to open up the working face first, and realize road exploration for larger mining equipment or excavation equipment. Taking the roadheader for coal mining as an example, its operation cycle is usually as long as several months, and it advances i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01D21/02
CPCG01D21/02
Inventor 王景霖曹亮沈勇单添敏林泽力郑国顾浩天彭德润冉广奎
Owner AVIC SHANGHAI AERONAUTICAL MEASUREMENT CONTROLLING RES INST
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