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Public Article
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Diagnosis Prediction of Construction Vehicles and Model Explainability Industry 4.0 Implementation
ISSN: 2195-1381
Publisher: author
Diagnosis Prediction of Construction Vehicles and Model Explainability Industry 4.0 Implementation
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 3
Article Transparency Score: 2
Article Operation Score: 3
Article Articles Score: 2
Article Accessibility Score: 2
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International Category Code (ICC):
ICC-1802
Publisher: Orclever Research&science Group
eISSN
:
2195-1381
Abstract
With the developing technology, the production and use of computerized machines and vehicles have gathered momentum and consequently the amount of information obtained has increased gradually. The conversion of continuously increasing and streaming data stacks into logical and useful information becomes more and more important. Various methods and algorithms have been developed for this purpose. This group of methods and algorithms, which are called data mining in the most general terms, have been combined with statistics and turned into methods of more comprehensible and logical solutions. Today, many devices produced are equipped with electronic circuit elements and software. Thus, the operation and control of these devices becomes convenient and it is possible to detect any failure that may occur in the devices in such a way that it does not stop the flow of the process. This has resulted in significant returns in terms of cost and...
