Zobrazeno 1 - 10
of 245
pro vyhledávání: '"Chris K. Mechefske"'
Autor:
Atefeh Gavahian, Chris K Mechefske
Publikováno v:
Machines, Vol 11, Iss 8, p 781 (2023)
For many machines with turning process systems, the application of economical indirect Tool Condition Monitoring (TCM) is enhanced by utilizing internal encoder spindle motor current signals. In this study, we proposed a novel approach to extract the
Externí odkaz:
https://doaj.org/article/e2134571eef44c2684c199b3a53624e6
Autor:
Tim von Hahn, Chris K. Mechefske
Publikováno v:
Machines, Vol 10, Iss 12, p 1233 (2022)
Building machine learning (ML) tools, or systems, for use in manufacturing environments is a challenge that extends far beyond the understanding of the ML algorithm. Yet, these challenges, outside of the algorithm, are less discussed in literature. T
Externí odkaz:
https://doaj.org/article/6ed6132608ba42409382f3b9a8345423
Publikováno v:
IEEE Sensors Journal. 22:12086-12097
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43b2e70146e5546ae8e96fb247c0d00d
https://doi.org/10.1109/jsen.2022.3174066
https://doi.org/10.1109/jsen.2022.3174066
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 18:1983-1997
Traditional machine learning methods assume that training and testing data must be from the same machine running condition (MRC) and drawn from the same distribution. However, in several real-time industrial applications, this assumption does not hol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::118e8d9068f5ca2a5117bdc9694e4048
https://doi.org/10.1109/tase.2020.3028151
https://doi.org/10.1109/tase.2020.3028151
Position prediction and error compensation for a large thin-walled box-shaped workpiece in a fixture
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 116:2633-2649
The final machining quality will be adversely affected when the workpiece position held in a fixture is not consistent with the expected position. Predicting and compensating for workpiece position errors can improve machining accuracy. However, most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::066eb7fbeafffacdfcf653b79a02400e
https://doi.org/10.1007/s00170-021-07632-z
https://doi.org/10.1007/s00170-021-07632-z
Publikováno v:
ISA Transactions. 111:360-375
Vibration-based feature extraction of multiple transient fault signals is a challenge in the field of rotating machinery fault diagnosis. Variational mode decomposition (VMD) has great potential for multiple faults decoupling because of its equivalen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ef3cbb995fb0c14e009106b6e5e7f17
https://doi.org/10.1016/j.isatra.2020.10.060
https://doi.org/10.1016/j.isatra.2020.10.060
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 111:505-515
In the manufacturing industry, cutting tool failure is a serious event which causes damage to the cutting tool and reduces the quality of the product, which increases the cost of production. A reliable, intelligent, tool wear monitoring system is req
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a9864b3d0131f800832bb60b8be1ddd
https://doi.org/10.1007/s00170-020-06144-6
https://doi.org/10.1007/s00170-020-06144-6
Publikováno v:
Journal of Vibration and Control. 27:597-611
The acoustic response of a car door latch has been shown to directly impact the customers’ perceived quality and value evaluation of the automobile. This work introduces an experimentally validated computational model of three door latch components
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bfbe4ab55d238298f69a99000e48066
https://doi.org/10.1177/1077546320932009
https://doi.org/10.1177/1077546320932009
Publikováno v:
Vibroengineering PROCEDIA. 30:55-60
This paper describes an Artificial Neural Network (ANN) based fault diagnosis methodology for Induction Motors (IM) operating under the same conditions for various speeds and loads. In this study, ten different IM fault conditions are considered. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7cd58efc178d0127f77d3878fa6414b
https://doi.org/10.21595/vp.2020.21334
https://doi.org/10.21595/vp.2020.21334
Publikováno v:
Mechanical Systems and Signal Processing. 129:764-780
System remaining useful life (RUL) estimation is one of the major prognostic activities in industrial applications. In this paper, we propose a sensor-based data-driven scheme using a deep learning tool and the similarity-based curve matching techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aa7c44125cb306aa8a8e072efe22f0c
https://doi.org/10.1016/j.ymssp.2019.05.005
https://doi.org/10.1016/j.ymssp.2019.05.005