Diagnostics of the Technical Condition of Industrial Equipment Based on a System of Hierarchical Production Rules

2021 ◽  
pp. 180-187
Author(s):  
Anna E. Kolodenkova ◽  
Alexander N. Guda ◽  
Svetlana S. Vereshchagina ◽  
Valeriya O. Tuvaeva
Author(s):  
Ionel Rusa ◽  
Cornel Marin

Abstract In the engineering practice, knowing the technical condition of industrial equipment under operating results shortening of repairs, repairs machinery to smart planning based on the time evolution of bearing wear, detect and correct errors on their installation or repair. This is one of the most important objectives of proactive maintenance; maintenance engineer must follow and monitor the wear of equipment with moving parts to prevent damage and removing them permanently from service, ensuring repair costs as low as possible. The aim of this paper is to present a particular case study on vibro- acoustic diagnosis of equipment and components subject to wear during operation to prevent catastrophic damage, as well as human and material losses.


Author(s):  
V. V. Bodrov ◽  
R. M. Bagautdinov ◽  
M. E. Goydo

The main tasks of automated control and diagnostics of the technical condition of hydraulic drives are formulated, criteria for assessing the technical condition of a hydraulic drive as a whole and its individual devices are considered, examples of test operating modes for hydraulic drives with a guide and proportional hydraulic equipment are given.


2020 ◽  
pp. 43-50
Author(s):  
A.S. Komshin ◽  
K.G. Potapov ◽  
V.I. Pronyakin ◽  
A.B. Syritskii

The paper presents an alternative approach to metrological support and assessment of the technical condition of rolling bearings in operation. The analysis of existing approaches, including methods of vibration diagnostics, envelope analysis, wavelet analysis, etc. Considers the possibility of applying a phase-chronometric method for support on the basis of neurodiagnostics bearing life cycle on the basis of the unified format of measurement information. The possibility of diagnosing a rolling bearing when analyzing measurement information from the shaft and separator was evaluated.


2019 ◽  
Vol 03 (03) ◽  
pp. 16-19
Author(s):  
E.K. Mukhutdinova ◽  
◽  
K.G. Abdul'minev ◽  
A.I. Kolyshkina ◽  
V.R. Tukaev ◽  
...  

2020 ◽  
Vol 16 (1) ◽  
pp. 25-32
Author(s):  
Basiroh Basiroh ◽  
Wiji Lestari

Errors that occur in solving problems in strawberry plants (Fragaria Xananassa) such as the presence of leaf patches, fruit rot, perforated leaves, and insect pests can be the cause of not maximum in harvest time. The farmers and the general public who planted strawberry (Fragaria Xananassa) need to know the proper treatment of diseases and pests so that future yields as expected. Therefore, it takes an application as a solution in the delivery of information related to the problems that are often encountered in strawberry plants (Fragaria Xananassa). Methods of production rules can be used to diagnose the disease strawberry (Fragaria Xananassa) based on signs or symptoms that occur in the parts of plants and strawberry, the results of diagnosis using this method are the same as we do Consultation on experts.  The purpose of this study was to determine the early diagnosis of disease in strawberry plants (Fragaria Xananassa) based on signs or symptoms that occur in the plant and fruit parts. The results of the analysis of this study showed that the validation of disease and symptom data in strawberry plants (Fragaria Xananassa) reached 99%, meaning that between the data of symptoms and disease understudy the accuracy was guaranteed with the experts.


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