2021
DOI: 10.1016/j.jmapro.2020.12.050
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Online tool condition monitoring for ultrasonic metal welding via sensor fusion and machine learning

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Cited by 39 publications
(14 citation statements)
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“…The wire loop profile is also one of the important factors that affects the bonding reliability. At present, machine learning (ML) algorithm has received great attention in the process modeling, which provides vital guidance for establishing new wire loop models [ 49 , 50 , 51 ]. Hou et al [ 52 ] proposed and demonstrated an efficient wire loop profile prediction model based on ML algorithm and FEA.…”
Section: Au Bonding Wirementioning
confidence: 99%
“…The wire loop profile is also one of the important factors that affects the bonding reliability. At present, machine learning (ML) algorithm has received great attention in the process modeling, which provides vital guidance for establishing new wire loop models [ 49 , 50 , 51 ]. Hou et al [ 52 ] proposed and demonstrated an efficient wire loop profile prediction model based on ML algorithm and FEA.…”
Section: Au Bonding Wirementioning
confidence: 99%
“…Zhao J. et al studied and analyzed the information security technology of Internet of ings applied in smart grid, and put forward the protection system and security measures of Internet of ings information security system applied in smart grid [11]. Nazir and Shao studied and analyzed the wireless communication system of Internet of ings and proposed a wireless communication guarantee mechanism of Internet of ings for smart grid [12]. Nazir and Shao proposed to combine the Internet of ings and EPON technology to analyze the security system of the Internet of ings under the background that the Internet of ings is used in smart grid and based on the current situation and technical characteristics of power communication network resources, so as to provide premise guarantee for the wide application and construction of the Internet of ings in smart grid [12].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Using machine learning, fast and precise predictions can be made about process parameters and results, and multi-dimensional sensor signals can be merged and interpreted. In modern industrial production facilities, sensor data fusion and predictive maintenance are already being used in the field to compare target and actual data and have proven to be accelerators here ( Aliustaoglu et al, 2009 ; Hashemian, 2011 ; Indri et al, 2019 ; Nazir and Shao, 2021 ; Pech et al, 2021 ). Nowadays, medicine and medical technology use image processing methods to segment and classify structures in order to draw conclusions about diseases and the resulting therapies ( Liu et al, 2019 ; Shi et al, 2021 ).…”
Section: 1 Analysis Of the Automation Potential Of The Most Prominent...mentioning
confidence: 99%