المؤلفون: Teemu Mäkiaho, Kari T. Koskinen, Jouko Laitinen

المصدر: Applied Sciences, Vol 14, Iss 2, p 800 (2024)

مصطلحات موضوعية: Simulation-Enhanced Anomaly Diagnostics (SEAD), physics-based simulations, diagnostics, anomaly classification, synthetic training data, deep learning, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/2/800; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/1f1aecae2ed748079ab5fc4cc3f6981f

المؤلفون: Teemu Mäkiaho, Henri Vainio, Kari T. Koskinen

المصدر: Machines, Vol 11, Iss 3, p 395 (2023)

مصطلحات موضوعية: milling blade wear, data collection, feature extraction, Pearson correlation coefficient, permutation feature importance, support vector regression, Mechanical engineering and machinery, TJ1-1570

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2075-1702/11/3/395; https://doaj.org/toc/2075-1702

URL الوصول: https://doaj.org/article/46840b3681cf4a67af8d5fc823730f5e

المؤلفون: Teemu Mäkiaho, Topias Kallio, Henri Vainio, Jouko Laitinen, Kari Koskinen

المصدر: 16th WCEAM Proceedings ISBN: 9783031254475

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ffd9b3172bd60637c04160343a2f3648
https://doi.org/10.1007/978-3-031-25448-2_17

المؤلفون: Teemu Mäkiaho, Henri Vainio, Kari Koskinen

المساهمون: Tampere University, Automation Technology and Mechanical Engineering

مصطلحات موضوعية: 213 Electronic, automation and communications engineering, electronics, General Earth and Planetary Sciences, General Environmental Science

وصف الملف: fulltext

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::170154412cb009cbe28b2ca7adf837b4
https://trepo.tuni.fi/handle/10024/145724