CN-117483449-B - Fault diagnosis system and method for aluminum foil rolling for double-zero aluminum foil production

CN117483449BCN 117483449 BCN117483449 BCN 117483449BCN-117483449-B

Abstract

The invention discloses a fault diagnosis system and a fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production, comprising the steps of obtaining running state data of an aluminum foil rolling machine, and processing the running state data of the aluminum foil rolling machine to obtain working condition values of the aluminum foil rolling machine; acquiring aluminum foil rolling quality data according to the working condition value of the aluminum foil rolling machine, and identifying the state of the aluminum foil rolling machine based on the aluminum foil rolling quality data; according to the scheme, the working condition value is obtained by processing the maximum temperature value of the compression roller bearing of the aluminum foil rolling mill during rolling, the maximum noise decibel value of the aluminum foil rolling mill during rolling and the electric energy critical loss value of the aluminum foil rolling mill during rolling, the primary detection state of the aluminum foil rolling mill is identified based on the working condition value, the primary detection normal signal of the aluminum foil rolling mill and the fault signal of the aluminum foil rolling mill and the primary detection normal signal of the aluminum foil rolling mill are obtained, the rolled aluminum foil size is processed based on the primary detection normal signal of the aluminum foil rolling mill, and the state of the aluminum foil rolling mill is identified.

Inventors

CUI GUANGJIAN
SHU RENJUN
ZHOU TENG

Assignees

江苏中基新能源科技集团有限公司

Dates

Publication Date: 20260505
Application Date: 20231101

Claims (5)

1. The fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production is characterized by comprising the following steps of: step one, acquiring operation state data of an aluminum foil rolling mill, and processing the operation state data of the aluminum foil rolling mill to obtain a working condition value of the aluminum foil rolling mill; Identifying the initial detection state of the aluminum foil rolling mill according to the working condition value of the aluminum foil rolling mill; Step two, acquiring aluminum foil rolling quality data according to the working condition value of the aluminum foil rolling machine, and identifying the state of the aluminum foil rolling machine based on the aluminum foil rolling quality data; In the first step, the running state data of the aluminum foil rolling mill comprises roller bearing temperature data, sound data and rolling electric energy loss data during rolling of the rolling mill; the working condition value of the aluminum foil rolling mill is obtained by the following steps: Marking the roller bearing temperature data as Wd; marking sound data as Zd during rolling by a rolling machine; marking rolling electric energy loss data as Ds; By the formula Calculating to obtain a working condition value Lk of the aluminum foil rolling mill, wherein a1, a2 and a3 are preset proportionality coefficients, and a1, a2 and a3 are all larger than 0; The working condition value threshold of the aluminum foil rolling mill is preset to be LKy, and the working condition value Lk of the aluminum foil rolling mill is compared with the working condition value threshold LKy of the aluminum foil rolling mill; If the working condition value Lk of the aluminum foil rolling mill is larger than the working condition value threshold LKy of the aluminum foil rolling mill, the primary detection of the aluminum foil rolling mill is normal, and a primary detection normal signal of the aluminum foil rolling mill is obtained; if the working condition value Lk of the aluminum foil rolling mill is smaller than or equal to the working condition value threshold LKy of the aluminum foil rolling mill, the initial detection of the aluminum foil rolling mill is abnormal, and a fault signal of aluminum foil rolling is obtained; Processing aluminum foil rolling quality data of the aluminum foil rolling machine based on the initial detection normal signal of the aluminum foil rolling machine, wherein the aluminum foil rolling quality data comprises a plurality of aluminum foil rolling size data; selecting any plurality of aluminum foil groups as target aluminum foil groups, marking the aluminum foils in the target aluminum foil groups as target aluminum foils, respectively acquiring the rolling sizes of the target aluminum foils in the target aluminum foil groups, and comparing the rolling sizes of the target aluminum foils with standard sizes; if the rolling size of the target group of aluminum foils is within the standard size, the processing of the target aluminum foils is free from problems, and the target aluminum foils are marked as normal target aluminum foils; If the rolling size of the target group of aluminum foils is outside the standard size, the processing of the target aluminum foils is problematic, and the target aluminum foils are marked as abnormal target aluminum foils; obtaining the number of the abnormal target aluminum foils, obtaining the ratio of the number of the abnormal target aluminum foils to the number of the target group aluminum foils, and marking the ratio as an abnormal ratio; If the abnormal ratio is within the preset abnormal ratio range, the normal rolling of the aluminum foil rolling mill is indicated, and a normal running signal of the aluminum foil rolling mill is generated.
2. The fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production according to claim 1, wherein if the abnormality ratio exceeds a preset abnormality ratio range, an abnormality target aluminum foil group is established for all abnormality target aluminum foils, and each abnormality target aluminum foil body size in the abnormality target aluminum foil group is inspected; marking an aluminum foil with a flaw in the body size of the abnormal target aluminum foil as a flaw-free workpiece, and marking an aluminum foil without a flaw in the body size of the abnormal target aluminum foil as a flaw-free workpiece; the number of defective workpieces is compared with the number of aluminum foils of the abnormal target aluminum foil group, so that a defect ratio is obtained; if the flaw ratio is within the preset flaw ratio range, the abnormal rolling of the aluminum foil rolling mill is indicated, and an operation fault signal of the aluminum foil rolling mill is generated.
3. The fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production according to claim 2, wherein if the flaw ratio exceeds a preset flaw ratio range, selecting any flaw-free workpiece, and marking the flaw-free workpiece as a test workpiece; Taking the inspected workpiece as a starting point, and acquiring a plurality of continuously processed aluminum foil workpieces after the inspected workpiece; Obtaining the sizes of a plurality of continuously processed aluminum foil workpieces, performing difference between the sizes of the plurality of continuously processed aluminum foil workpieces and the sizes of the check workpieces to obtain size check values, and integrating all the size check values to obtain a size check group; If the sizes in the size check group are linearly changed according to the processing sequence, namely, the sizes in the size check group are sequentially increased or sequentially decreased, the size of the aluminum foil rolling error is increased, the rolling of the aluminum foil rolling machine is abnormal, and an operation fault signal of the aluminum foil rolling machine is generated.
4. The fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production according to claim 3, wherein if the dimensions in the dimension check group vary nonlinearly in the processing order, a plurality of continuously processed aluminum foils after the inspection of the work pieces are identified as aluminum foils; comparing all the dimensions of the identified aluminum foil with the standard dimensions; if the sizes of the aluminum foils are determined to be outside the standard sizes, the aluminum foil rolling mill is abnormal in rolling, and an operation fault signal of the aluminum foil rolling mill is generated; If the ratio of the number of the determined aluminum foils in the standard size to the number of all the determined aluminum foils is in the preset determination ratio, the aluminum foil rolling mill is normally rolled, and a normal operation signal of the aluminum foil rolling mill is generated; If the ratio of the number of the determined aluminum foils in the standard size to the number of all the determined aluminum foils is not in the preset determination ratio, the abnormal rolling of the aluminum foil rolling machine is indicated, and an operation fault signal of the aluminum foil rolling machine is generated.
5. The fault diagnosis system for aluminum foil rolling for double-zero aluminum foil production is characterized in that the fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production is adopted for operation and comprises a data acquisition module, a fault diagnosis module and a cloud control platform; the data acquisition module is used for acquiring the running state data of the aluminum foil rolling mill and processing the running state data of the aluminum foil rolling mill to obtain the working condition value of the aluminum foil rolling mill; Identifying the initial detection state of the aluminum foil rolling mill according to the working condition value of the aluminum foil rolling mill; the fault diagnosis module is used for acquiring the aluminum foil rolling quality data according to the working condition value of the aluminum foil rolling machine and identifying the state of the aluminum foil rolling machine based on the aluminum foil rolling quality data.

Description

Fault diagnosis system and method for aluminum foil rolling for double-zero aluminum foil production Technical Field The invention relates to the technical field of aluminum foil production, in particular to a fault diagnosis system and method for aluminum foil rolling for double-zero aluminum foil production. Background Aluminum foil is a sheet directly rolled from metallic aluminum and is commonly used as a hot stamping material, a capacitor, a packaging material and the like. An IPCA rolling process on-line fault diagnosis method with variable control limits is disclosed in patent application number 201910166635.1. The online fault diagnosis method is used for carrying out online identification and diagnosis on faults in the rolling process through real-time data, thereby meeting the requirements on production continuity and stability, reducing maintenance time, improving the yield and quality of products in the rolling process, updating a diagnosis model and a statistic control limit of normal historical training data online through an increment principal component analysis method (IPCA), expanding the diagnosed online data without faults into the diagnosis model so as to adapt to the current production state of the rolling process, and improving the fault diagnosis accuracy. However, the prior art lacks fusion processing of the state of an aluminum foil rolling machine and aluminum foil rolling data in the aluminum foil rolling process, and has larger limitation. Disclosure of Invention The invention aims to provide a fault diagnosis system and a fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production, which are used for processing a maximum temperature value of a compression roller bearing during rolling of an aluminum foil rolling mill, a maximum noise decibel value during rolling of the aluminum foil rolling mill and an electric energy critical loss value during rolling of the aluminum foil rolling mill, the method comprises the steps of obtaining a working condition value of an aluminum foil rolling mill, identifying a primary detection state of the aluminum foil rolling mill based on the working condition value, obtaining a primary detection normal signal of the aluminum foil rolling mill, a fault signal of aluminum foil rolling and a primary detection normal signal of the aluminum foil rolling mill, processing the size of the rolled aluminum foil based on the primary detection normal signal of the aluminum foil rolling mill, and identifying the state of the aluminum foil rolling mill. The aim of the invention can be achieved by the following technical scheme: a fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production comprises the following steps: step one, acquiring operation state data of an aluminum foil rolling mill, and processing the operation state data of the aluminum foil rolling mill to obtain a working condition value of the aluminum foil rolling mill; Identifying the initial detection state of the aluminum foil rolling mill according to the working condition value of the aluminum foil rolling mill; And step two, acquiring aluminum foil rolling quality data according to the working condition value of the aluminum foil rolling machine, and identifying the state of the aluminum foil rolling machine based on the aluminum foil rolling quality data. In the first step, the running state data of the aluminum foil rolling mill comprise roller bearing temperature data, sound data during rolling of the rolling mill and rolling electric energy loss data. The method is characterized in that the working condition value of the aluminum foil rolling mill is obtained by the following steps: Marking the roller bearing temperature data as Wd; marking vibration data during rolling by a rolling machine as Zd; marking rolling electric energy loss data as Ds; By the formula Calculating to obtain working condition values Lk of the aluminum foil rolling mill, wherein a1, a2 and a3 are preset proportionality coefficients, and a1, a2 and a3 are all larger than 0. The further scheme of the invention is that the working condition value threshold value of the aluminum foil rolling machine is preset to be lKy, and the working condition value Lk of the aluminum foil rolling machine is compared with the working condition value threshold value lKy of the aluminum foil rolling machine; if the working condition value Lk of the aluminum foil rolling mill is larger than the working condition value threshold lKy of the aluminum foil rolling mill, the primary detection of the aluminum foil rolling mill is normal, and a primary detection normal signal of the aluminum foil rolling mill is obtained; if the working condition value Lk of the aluminum foil rolling mill is smaller than or equal to the working condition value threshold lKy of the aluminum foil rolling mill, the initial detection abnormality of the aluminum foil rolling mill is indicated, and a fault