An Intelligent Prediction Method for ZJ17 Cigarette Equipment Maintenance Based on Fuzzy Mathematics Improved Analytic Hierarchy Process
A technique of analytic hierarchy process and fuzzy mathematics, which is applied in the direction of forecasting, reasoning methods, data processing applications, etc., can solve the problems of inconvenient quantitative calculation, difficult precision resolution, high requirements, etc., so as to improve the level of maintenance decision-making and equipment operation efficiency Effect
Active Publication Date: 2021-07-09
CHINA TOBACCO ZHEJIANG IND
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Problems solved by technology
Model-based methods should rely more on process mechanism research, and it is not easy to obtain accurate resolution in engineering practice
Experience-based methods can provide intuitive analysis and avoid complex data modeling, but require high expert knowledge and are not convenient for quantitative calculations
Data-based methods have low requirements for system mechanism and prior knowledge, but high requirements for data accumulation and lack of intuitive physical meaning
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Embodiment Construction
[0040] 1. Collect the number of all failures of a ZJ17 cigarette maker from August 3, 2015 to August 10, 2016.
[0041]
[0042] Each row of the data in the above table represents the number of faults in one day, and each column represents a specific fault.
[0043]
[0044] 2. Calculate the failure information of the comprehensive index by using fuzzy analytic hierarchy process
[0045] a) Standardize each indicator
[0046] b) with standard deviation Indicates the degree of influence of each fault index on the comprehensive index
[0047] c) According to the standardized data r(i, p) and standard deviation s(i), calculate the judgment matrix b
[0048]
[0049] d) According to the judgment matrix b, calculate the weight coefficient of the comprehensive index, which is the proportion of each fault index.
[0050] e) Calculate the failure information of the comprehensive index
[0051] 3. Calculate the comprehensive index threshold
[0052] a) Process the dat...
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The invention relates to the fields of equipment failure prediction and equipment maintenance decision-making, in particular to an intelligent prediction method for ZJ17 cigarette equipment maintenance based on an improved analytic hierarchy process based on fuzzy mathematics. The method comprises the following steps: 1) obtaining historical operation data of the cigarette machine equipment; 2) establishing a predictive model of an improved analytic hierarchy process of fuzzy mathematics according to the expert knowledge of the fault tree and the historical operating data to predict the cigarette 3) Obtain the current operating status of the cigarette machine equipment, and use the improved fuzzy analytic hierarchy process model to calculate the comprehensive index information of the equipment failure weight for the daily equipment failure data; 4) use the calculated The comprehensive index identifies its deterioration trend, and judges its trend to calculate the comprehensive maintenance threshold; 5) Combines with the maintenance expert database to determine which specific faults have a deterioration trend according to the fault threshold, and judges that it reaches or exceeds the maintenance threshold; 6) Generates maintenance decision information and Identify the parts of the equipment that need to be disposed of.
Description
technical field [0001] The invention relates to the fields of equipment failure prediction and equipment maintenance decision-making, in particular to an intelligent prediction method for ZJ17 cigarette equipment maintenance based on an improved fuzzy mathematics-improved analytic hierarchy process. Background technique [0002] ZJ17 cigarette making machine is one of the most important production equipment for cigarette enterprises. The fault detection and diagnosis of cigarette making equipment has experienced the development process from downtime maintenance, regular maintenance to predictive maintenance. Early downtime maintenance can not really avoid economic losses. Regular maintenance or calculation maintenance will cause unnecessary waste of resources due to excessive maintenance. Predictive maintenance, also known as condition-based maintenance or condition-based maintenance, is the most important development direction at present. [0003] Currently, fault predic...
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IPC IPC(8): G06Q10/04G06N5/04G06Q10/00G06Q10/06
CPCG06N5/048G06Q10/04G06Q10/06393G06Q10/20Y02P90/80
Inventor朱立明郭妙贞李钰靓何启学
OwnerCHINA TOBACCO ZHEJIANG IND