About: Remote machine mode detection in cold forging using vibration signal

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Remote machine mode detection in cold forging using vibration signal
Creator	Lee, Sooyoung Min, Sangkee Glaeser, Andrew Hwang, Yunseob Lee, Kangsan Lee, Namjeong Lee, Seungchul Selvaraj, Vignesh
Source	Elsevier
abstract	Abstract Detecting machine mode can allow smarter process monitoring systems and more accurate fault prediction without external information. A remote machine monitoring system was installed on a cold heading machine in the factory of an automotive fastener manufacturing company. The process monitoring system was non-intrusive and was designed to measure vibration. The end goal of the study was to predict tool wear, but part classification was required first, as the machine produced multiple parts which produced different vibration signals. The collected vibration data was processed using wavelet transform and passed through a convolutional neural network for part classification. This method achieved part classification accuracy as high as 86% when looking at data for a 1-month period. The results show that meaningful classification features are present in the data using the process monitoring system as designed.
has issue date	2020-12-31(xsd:dateTime)
bibo:doi	10.1016/j.promfg.2020.05.129
has license	els-covid
sha1sum (hex)	e38ad6208cc52a9fbdb135be00a1bb6a846656e4
schema:url	https://doi.org/10.1016/j.promfg.2020.05.129
resource representing a document's title	Remote machine mode detection in cold forging using vibration signal
schema:publication	Procedia Manufacturing
resource representing a document's body	covid:e38ad6208cc52a9fbdb135be00a1bb6a846656e4#body_text
is schema:about of	named entity 'The process' named entity 'vibration' named entity 'external' named entity 'cold forging' named entity 'mode' named entity 'ScienceDirect' named entity 'HEADING' named entity 'PREDICTION' named entity 'COMPANY' named entity 'signals' named entity 'machine' named entity 'monitoring systems' named entity 'fastener' named entity 'ScienceDirect' named entity 'cold forging' named entity 'sampling rate' named entity 'sampling rate' named entity 'remote server' named entity 'manufacturing process' named entity 'human error' named entity 'cold forging' named entity 'smart manufacturing' named entity 'deep learning' named entity 'training data' named entity 'wavelet' named entity 'predictive maintenance' named entity 'RVM' named entity 'cold forging' named entity 'manufacturing process' named entity 'algorithm' named entity 'sensor' named entity 'E-mail' named entity 'Smart Manufacturing' named entity 'neural networks' named entity 'STFT' named entity 'sustainability' named entity 'Raspberry Pi' named entity '1, 2' named entity 'micro-controller' named entity 'PNN' named entity 'Smart manufacturing' named entity 'remote server' named entity 'forging die' named entity 'fastener' named entity 'neural network' named entity 'sensor' named entity 'manufacturing process' named entity 'Smart manufacturing' named entity 'Data transfer' named entity 'data processing' named entity 'supply chain' named entity 'SVM' named entity 'SVM' named entity 'data samples' named entity 'E-mail' named entity 'sampling rate' named entity 'data pre-processing' named entity 'titanium alloy' named entity 'external hard drive' named entity 'smart manufacturing' named entity 'real-time computing' named entity 'microcontroller unit' named entity 'RVM' named entity 'learning algorithms' named entity 'neural networks' named entity 'learning rate' named entity 'accelerometer' named entity 'forging die' named entity 'image data' named entity 'cold forging' named entity 'Algorithm' named entity 'Smart Manufacturing' named entity 'machine learning' named entity 'microcontroller' named entity 'sensor' named entity 'Smart Manufacturing' named entity 'training data'

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