ZJ17 cigarette equipment maintenance intelligent prediction method based on fuzzy mathematics improved hierarchical analysis method
A Hierarchical Process and Fuzzy Mathematics technology, applied in prediction, reasoning method, data processing application, etc., can solve problems such as inconvenient quantitative calculation, high requirements, and difficulty in accurate resolution, so as to improve the level of maintenance decision-making and equipment operation. The effect of efficiency
Active Publication Date: 2018-08-07
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 fault prediction and equipment maintenance decision making, and particularly relates to a ZJ17 cigarette equipment maintenance intelligent prediction method based on a fuzzy mathematics improved hierarchical analysis method. The method comprises the following steps: 1) acquiring historical operation data of the cigarette equipment; 2) establishing afuzzy mathematics improved hierarchical analysis method prediction model according to the fault tree expert knowledge and the historical operation data, so as to predict the potential fault trend ofthe cigarette equipment; 3) acquiring the current running state of the cigarette equipment, calculating the comprehensive index information of the weighted failure equipment for the daily equipment fault data by the improved fuzzy hierarchical analysis method model; 4) utilizing the calculated comprehensive index to identify the degradation tendency, judging the trend and calculating a comprehensive maintenance threshold; 5) determining which faults have the degradation trend according to the fault threshold value in combination with the maintenance expert database, and determining whether itreaches or exceeds the maintenance threshold; and 6) generating the maintenance decision-making information, and determining the equipment part that has to be treated.
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