2011
DOI: 10.1016/j.tust.2010.08.005
|View full text |Cite
|
Sign up to set email alerts
|

Towards the identification of worn picks on cutterdrums based on torque and power signals using Artificial Neural Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
5
0
1

Year Published

2014
2014
2021
2021

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 27 publications
(6 citation statements)
references
References 13 publications
0
5
0
1
Order By: Relevance
“…die spezifische Löseenergie. Der aktuelle Energiebedarf der Gewinnungsmaschine ist unter Berücksichtigung von Verlusten somit eine Reflektion der aktuellen Schneidparameter und der Prozesse, die an der Spitze des Schneidwerkzeugs ablaufen [20].…”
Section: Bild 1 Wirkungsdreieck Werkzeug -Materials -Maschine Nach [1]unclassified
“…die spezifische Löseenergie. Der aktuelle Energiebedarf der Gewinnungsmaschine ist unter Berücksichtigung von Verlusten somit eine Reflektion der aktuellen Schneidparameter und der Prozesse, die an der Spitze des Schneidwerkzeugs ablaufen [20].…”
Section: Bild 1 Wirkungsdreieck Werkzeug -Materials -Maschine Nach [1]unclassified
“…In numerical studies of picks, the main methods are the finite-element method (FEM) [11][12][13] and the discrete-element method [14][15][16]. In pick experiments, different testbeds have been established, such as the coal-rock cutting testbed [17,18] and automated rotary coal/rock cutting simulator (ARCCS) testbed [19][20][21] used for rotary cutting, the single-pick testbed [22,23], the fullscale cutting testbed [24,25] and some modified test devices [26,27]. Research attention is now turning to pick failure.…”
Section: Introductionmentioning
confidence: 99%
“…Research attention is now turning to pick failure. Because most pick failures are due to wear, pick wear has been investigated experimentally [26][27][28][29][30]. To reveal the mechanism for pick wear, the interaction between a pick and the rock material has been studied [31][32][33].…”
Section: Introductionmentioning
confidence: 99%
“…Loui and Karanam [11] used finite element software to study the law of the tooth temperature change in 2005 and found the relationship between the surface temperature of the cutter, the speed of the drum, and the traction speed. In 2010, Gajewski and Jonak [12] carried out a cutting test of pick type and knife cut teeth of different wear states and obtained the cutting power and torque distribution law when cutting coal rock with different cutting teeth. Hoseinie et al [13] analyzed the reliability of the key shearer system in 2012 and established the mathematical model of the reliability evaluation of the shearer.…”
Section: Introductionmentioning
confidence: 99%