FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380925306> ?p ?o ?g. }

• W4380925306 endingPage "106565" @default.
• W4380925306 startingPage "106565" @default.
• W4380925306 abstract "Drum brakes are among the essential safety components in automobiles; hence, it is critical to detect any fault in the system that might hinder its performance. A fault detection framework based on artificial intelligence and a rigid-body model of a system (as a digital experiment) is proposed to detect four of the most common faults in automotive drum brakes. First, a contact mechanics-based nonlinear model of a drum brake (incorporating conformal contact between the brake shoes and the brake drum) is developed to estimate the dynamic response accurately. The predictions from this model are compared with the data available in the literature. The responses estimated from the model with a known level of faults form the input data set for various fault quantification algorithms. Sensitivity-based pruning technique in conjunction with an artificial neural network is used to select the optimal set of features for which the physical interpretations are deduced. The developed fault detection methodologies are quantitatively compared, and the most applicable among them is determined based on the detection accuracy and the computational cost. Finally, the robustness of the selected methodology is tested under the presence of white Gaussian noise in the measured signals. The proposed framework and the selected methodology will help design an accurate health monitoring tool to diagnose faults in automotive drum brakes. Though the current study focuses on drum brakes, the possible generalization of its framework to other systems is discussed." @default.
• W4380925306 created "2023-06-17" @default.
• W4380925306 creator A5030815819 @default.
• W4380925306 creator A5036164696 @default.
• W4380925306 creator A5077423518 @default.
• W4380925306 date "2023-09-01" @default.
• W4380925306 modified "2023-10-15" @default.
• W4380925306 title "Development and comparative evaluation of various fault detection algorithms for a drum brake using artificial neural networks and a physics-based model" @default.
• W4380925306 cites W1795002561 @default.
• W4380925306 cites W2001184396 @default.
• W4380925306 cites W2008598341 @default.
• W4380925306 cites W2011131387 @default.
• W4380925306 cites W2012354619 @default.
• W4380925306 cites W2013683896 @default.
• W4380925306 cites W2017830180 @default.
• W4380925306 cites W2020018143 @default.
• W4380925306 cites W2021353881 @default.
• W4380925306 cites W2027492539 @default.
• W4380925306 cites W2031816693 @default.
• W4380925306 cites W2044225927 @default.
• W4380925306 cites W2054910283 @default.
• W4380925306 cites W2060512336 @default.
• W4380925306 cites W2064192304 @default.
• W4380925306 cites W2081102568 @default.
• W4380925306 cites W2086744501 @default.
• W4380925306 cites W2090718115 @default.
• W4380925306 cites W2090745001 @default.
• W4380925306 cites W2092877185 @default.
• W4380925306 cites W2098091772 @default.
• W4380925306 cites W2111753288 @default.
• W4380925306 cites W2119000395 @default.
• W4380925306 cites W2142418505 @default.
• W4380925306 cites W2146193831 @default.
• W4380925306 cites W2239848832 @default.
• W4380925306 cites W2249669309 @default.
• W4380925306 cites W2255882900 @default.
• W4380925306 cites W2287540443 @default.
• W4380925306 cites W2462966724 @default.
• W4380925306 cites W2524973563 @default.
• W4380925306 cites W2535476882 @default.
• W4380925306 cites W2555835967 @default.
• W4380925306 cites W2579850834 @default.
• W4380925306 cites W2591328427 @default.
• W4380925306 cites W2775293111 @default.
• W4380925306 cites W2790195878 @default.
• W4380925306 cites W2804780212 @default.
• W4380925306 cites W2886502437 @default.
• W4380925306 cites W2887443913 @default.
• W4380925306 cites W2935705561 @default.
• W4380925306 cites W2946998303 @default.
• W4380925306 cites W2994372137 @default.
• W4380925306 cites W3025887373 @default.
• W4380925306 cites W3172527209 @default.
• W4380925306 cites W3196987438 @default.
• W4380925306 doi "https://doi.org/10.1016/j.engappai.2023.106565" @default.
• W4380925306 hasPublicationYear "2023" @default.
• W4380925306 type Work @default.
• W4380925306 citedByCount "0" @default.
• W4380925306 crossrefType "journal-article" @default.
• W4380925306 hasAuthorship W4380925306A5030815819 @default.
• W4380925306 hasAuthorship W4380925306A5036164696 @default.
• W4380925306 hasAuthorship W4380925306A5077423518 @default.
• W4380925306 hasConcept C104317684 @default.
• W4380925306 hasConcept C11413529 @default.
• W4380925306 hasConcept C115961682 @default.
• W4380925306 hasConcept C121332964 @default.
• W4380925306 hasConcept C127413603 @default.
• W4380925306 hasConcept C146978453 @default.
• W4380925306 hasConcept C152745839 @default.
• W4380925306 hasConcept C154945302 @default.
• W4380925306 hasConcept C158622935 @default.
• W4380925306 hasConcept C171146098 @default.
• W4380925306 hasConcept C172707124 @default.
• W4380925306 hasConcept C185592680 @default.
• W4380925306 hasConcept C2780999251 @default.
• W4380925306 hasConcept C41008148 @default.
• W4380925306 hasConcept C50644808 @default.
• W4380925306 hasConcept C526921623 @default.
• W4380925306 hasConcept C55493867 @default.
• W4380925306 hasConcept C62520636 @default.
• W4380925306 hasConcept C63479239 @default.
• W4380925306 hasConcept C99498987 @default.
• W4380925306 hasConceptScore W4380925306C104317684 @default.
• W4380925306 hasConceptScore W4380925306C11413529 @default.
• W4380925306 hasConceptScore W4380925306C115961682 @default.
• W4380925306 hasConceptScore W4380925306C121332964 @default.
• W4380925306 hasConceptScore W4380925306C127413603 @default.
• W4380925306 hasConceptScore W4380925306C146978453 @default.
• W4380925306 hasConceptScore W4380925306C152745839 @default.
• W4380925306 hasConceptScore W4380925306C154945302 @default.
• W4380925306 hasConceptScore W4380925306C158622935 @default.
• W4380925306 hasConceptScore W4380925306C171146098 @default.
• W4380925306 hasConceptScore W4380925306C172707124 @default.
• W4380925306 hasConceptScore W4380925306C185592680 @default.
• W4380925306 hasConceptScore W4380925306C2780999251 @default.
• W4380925306 hasConceptScore W4380925306C41008148 @default.
• W4380925306 hasConceptScore W4380925306C50644808 @default.
• W4380925306 hasConceptScore W4380925306C526921623 @default.

• next