Title :
Study on Intelligent Measurement Method for Non-Linear Parameters
Author :
Gu, Lichen ; Liu, Peijin
Author_Institution :
Sch. of Mech. & Electron. Eng., Xi´´an Univ. of Archit. & Technol., Xi´´an
Abstract :
In order to maintain the equipments in good condition, we are looking for a better way to detect non-linear parameters on line, but the desire is not fulfilled often in actual situations because these parameters are difficult, or even impossible for on line measurement. Firstly, this paper describes a method to compute non-linear parameters using the theory of functional neural network, and then a mathematics relation between the secondary variable and primary variable of the soft-sensing mode is established, finally the experiment of the lifting moment of tower crane show the computing method is effective and reliable.
Keywords :
machinery; maintenance engineering; measurement; mechanical engineering computing; neural nets; functional neural network; intelligent measurement method; lifting moment; machinery equipment maintenance; online measurement; soft-sensing mode; tower crane; Computer networks; Cranes; Displacement measurement; Equations; Force measurement; Mechanical variables measurement; Neural networks; Parameter estimation; Poles and towers; Power measurement;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.521