2022
DOI: 10.1016/j.ijleo.2022.170149
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Research on signal analysis and diagnosis of chain drive system of the scraper conveyor guided by artificial intelligence algorithm

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Cited by 4 publications
(8 citation statements)
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“…The basic commands commonly used in the transmission system are classified and the basic fault identification framework is set by using the CEEMD parsing procedure [9], in which the initial identification commands are given. For the modal overlap problem in the conventional system [10], the improvement range is set and the instruction conversion is performed.…”
Section: Initial Fault Identificationmentioning
confidence: 99%
“…The basic commands commonly used in the transmission system are classified and the basic fault identification framework is set by using the CEEMD parsing procedure [9], in which the initial identification commands are given. For the modal overlap problem in the conventional system [10], the improvement range is set and the instruction conversion is performed.…”
Section: Initial Fault Identificationmentioning
confidence: 99%
“…The total friction on the middle or bottom plate includes the friction between the scraper chain and plate, coal and plate, coal and so on. These friction coefficients can be found in the literature (Zhang and Fang, 1986;Broadfoot and Betz, 2000;Mao, 2006) or determined by experiments (Wauge, 2002). However, the equivalent friction coefficient is adopted in this paper to simplify the modelling, and the equivalent value can be determined according to reference (Mao, 2006).…”
Section: The Horizontal Bend Sectionmentioning
confidence: 99%
“…Its output variables are the load torque (Tload1) and tangent acceleration (a1) of the head sprocket. The Sprocket2 is used to capture Zhang and Fang (1986), Mao (2006), Wauge (2002) the dynamic behaviour of the tail sprocket. Its input variables are the driving torque from the driving system at tail frame (T2), the tension of control element (nþ1) (fn1) and the tension of control element (nþ2) (fn2).…”
Section: Simulation Modelmentioning
confidence: 99%
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