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On-line diagnosis method for air leakage fault of sintering machine based on blind source separation and unilateral detection method

A technology of blind source separation and diagnosis method, which is applied in the field of online diagnosis of sintering machine air leakage faults, can solve the problems of lack of effective means for air leakage rate, high-temperature particles falling, energy waste of exhaust fans, etc., and achieve low implementation cost and reduce failures efficiency, reducing energy saving and consumption reduction

Active Publication Date: 2019-12-13
HUATIAN ENG & TECH CORP MCC +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The trolley is spliced ​​by a number of mobile independent trolleys. There are gaps and movable connections between the trolley and the trolley workshop, the bellows and the trolley workshop. Due to the sealing structure of the sintering machine and the maintenance problems of long-term use, it is easy to use in various places. Air leakage occurs in the parts, resulting in insufficient combustion and waste of exhaust fan energy. In the case of serious air leakage, high-temperature particles may even be scattered, causing production accidents
Due to the complex structure of the sintering machine and its attached bellows, air pipes, valves, etc., and working at high temperature, the detection of air leakage rate has always lacked effective means, and it is difficult to carry out tightness detection

Method used

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  • On-line diagnosis method for air leakage fault of sintering machine based on blind source separation and unilateral detection method
  • On-line diagnosis method for air leakage fault of sintering machine based on blind source separation and unilateral detection method
  • On-line diagnosis method for air leakage fault of sintering machine based on blind source separation and unilateral detection method

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Embodiment 1

[0036] combine figure 1 with figure 2 The workshop where the sintering machine is located installs a number of sound signal collectors to provide detection signal sources for on-line fault diagnosis as on-site sensors. The method includes the following steps:

[0037] Step 1: Use the sound signal collector to collect the sound data of the sintering production workshop under normal working conditions, obtain the workshop sound history sample library, and obtain the offline normal sample set X after sampling and denoising processing normal ;

[0038] Step 2: Analyze the normal sample set obtained in Step 1 and establish a normal sound model of the sintering machine;

[0039] Step 3: Collect the sound data of the current sintering production workshop in real time to obtain online sound samples, compare the collected online sound samples with the normal sound model, and judge whether the online sound samples are abnormal according to the comparison results. If the data of the o...

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Abstract

The invention discloses a sintering machine air leakage fault online diagnosis method based on a blind source separation single-side detection method. A plurality of sound signal collectors is installed in a sintering machine workshop. The method comprises the following steps: 1, the sound signal collectors are used for acquiring the sound data of a sintering manufacturing workshop under the normal working condition, a workshop sound historical sample library is obtained, and an off-line normal sample set is obtained through sampling and denoising processing; 2, a normal sample set obtained inthe step 1 is analyzed, and a normal sound model of a sintering machine is established; and 3, the sound data of the current sintering production workshop is acquired in real time to obtain an on-line sound sample, the collected online sound sample is compared with a normal sound model, and whether the on-line sound sample is abnormal or not is judged according to the comparison result, and if the data of the online sound sample is abnormal, the data of the online sound sample is compared with the air leakage fault sound model, and whether the online sound sample belongs to a defined air leakage fault or not is judged so as to judge whether an air leakage fault occurs in the sintering machine or not.

Description

technical field [0001] The invention relates to an online diagnosis method for an air leakage fault of a sintering machine based on a blind source separation unilateral detection method. Background technique [0002] Iron ore sintering is an important link in the modern iron and steel metallurgical process. Its main production link is to ignite and burn evenly mixed small granular raw materials on a trolley-type sintering machine to fuse them into massive sinter. In order to ensure the strength and chemical composition of sinter agglomerates, the raw materials need to be fully burned on the sintering machine. The evenly mixed small granular raw materials are uniformly distributed in the form of a thick material layer on the sintering machine. In order to ensure the full combustion of the raw materials, the sintering machine installs a bellows under the raw material layer and connects with an exhaust fan. Through the negative pressure generated by the exhaust fan, the Fresh ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01H17/00G01M3/24F27B21/14
CPCF27B21/00
Inventor 方田叶学农董岱
Owner HUATIAN ENG & TECH CORP MCC
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