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Engineering analysis dataset of instrument using Kohonen maps
(Self-organizing maps)
Master student of MMA department : Krasnykh K.N.Supervisor: Mylnikov L.A.
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Issues in focus:•A large manufacturing enterprise •Tens of workshops•Some hundreds of instruments and
equipments
Issue: What one of the above is better? Effective? Profitable?
•To analyze all tools and instruments and make an adequate conclusion.
•To find out any hidden consistencies
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Objectives: Practical implementation of the method to research it in the engineering environment and studying of its availability to the analysis of industrial data.
• Transformation of difficult multidimensional data to simpler structure of small dimension.
• Finding out of any hidden consistencies • Visualization and graphic representation of
outputs
The Kohonen’s networks and maps
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Competitive training
Self-organizing maps
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Clustering
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Kohonen maps
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Problem solving using the data of control and measuring devices & automatic equipment including two steps:
•1). Processing and clustering of objects by Kohonen's algorithm.
•2). Building and interpretation of Kohonen’s maps
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Parameters:
•training set: 100%•conditions under which learning will end:
500 age or if the error is less than 0.05•Learning speed : 0,3 and 0,005•range of training: 6 and 0,1•Form of the neighborhood function :
Gaussian•The clustering algorithm: G-means
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Input fields:
•1). Delivery time [80%] •2). Cost is low of the instrumentation
[100%]•3). Repair cost [90%]•4). Age of the instrumentation [60%]•5) Congestion levels the instrument [70%]•6). Uptime [90%]•7). Probability of failure [80%]
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Kohonen maps
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Kohonen maps:
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Cost of the devices
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Interpretation of results
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Kohonen maps
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Interpretation of results
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Conclusion•Implementation of this method is actual
and effective.• Results of implementation:•Finding out of problems •Looking ahead of emergencies •Reduction of material service charge and
purchase of a new equipment•Choice of more effective and favorable
equipment
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Thank you for your attention