Language: | Slovenian |
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Year of publishing: | 2022 |
Typology: | 2.11 - Undergraduate Thesis |
Organization: | UL FS - Faculty of Mechanical Engineering |
Publisher: | [M. Anko] |
UDC: | 004.83+534(043.2) |
COBISS: | 121344003 |
Views: | 30 |
Downloads: | 13 |
Average score: | 0 (0 votes) |
Metadata: |
Secondary language: | English |
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Secondary title: | A research on machine learning for the estimation of sound pressure level |
Secondary abstract: | Large amounts of data recorded during manufacturing process and final inspection enable us to use machine learning methods to create a model that predicts value of the measurement at end of line inspection even before it has been carried out. We researched the effects of mass imbalance on the amplitude response and how noise is generated. We showed the entire process of making the model with the use of Python library Scikit learn. We created a model for prediction of sound pressure level and model for prediction of vibration velocity and evaluated them. |
Secondary keywords: | thesis;machine learning;mass balancing;sound pressure;vibrations;scikit-learn; |
Type (COBISS): | Final paper |
Study programme: | 0 |
Embargo end date (OpenAIRE): | 1970-01-01 |
Thesis comment: | Univ. v Ljubljani, Fak. za strojništvo |
Pages: | XIV, 45 f. |
ID: | 16327041 |