Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/54816
Title: A soft technique for measuring friction force using neural network
Authors: Huang, S. 
Tan, K.K. 
Keywords: Approximation
Estimation
Friction
Learning
Neural network
Software
Issue Date: Nov-2011
Source: Huang, S.,Tan, K.K. (2011-11). A soft technique for measuring friction force using neural network. Sensors and Transducers 133 (10) : 1-7. ScholarBank@NUS Repository.
Abstract: There are two approaches to measure a friction force: force sensor, software estimation algorithm. This paper will focus on software approach to measure friction. The proposed approach uses a neural network (NN) to approximate the friction force in a mechanical system. Since the friction force considered is a speed-dependent function, a learning algorithm is adopted to update the NN weights so as to follow unknown friction behaviors. The advantage of the proposed friction estimation method is that it is based on the built NN model, and it does not require the force sensor measurement. Simulation test is given to verify the effectiveness of the proposed approach. © 2011 IFSA.
Source Title: Sensors and Transducers
URI: http://scholarbank.nus.edu.sg/handle/10635/54816
ISSN: 17265479
Appears in Collections:Staff Publications

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