Performance evaluation of a copper omega type Coriolis mass flow sensor with an aid of ANFIS tool

被引：7
|
作者：
Patil, Pravin P. [1 ]
Sharma, Satish C. [2 ]
Jain, S. C. [2 ]
机构：
[1] Graph Era Univ, Dept Mech Engn, Dehra Dun 248002, India
[2] Indian Inst Technol, Dept Mech & Ind Engn, Roorkee 247667, Uttar Pradesh, India
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 05期
关键词：
Copper omega type; Coriolis mass flow sensor; Performance prediction; ANFIS; FUZZY INFERENCE SYSTEM; TEXTURE CLASSIFICATION;
D O I：
10.1016/j.eswa.2011.10.010
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The performance evaluation of a copper omega type Coriolis mass flow sensor using an adaptive neuro-fuzzy inference system (ANFIS) has been studied for influencing input design parameters. The exhaustive experimentation has been carried out under various operational conditions and further this data set is utilized for modeling using ANFIS. The results are in good agreement with the experimental results stating that this technique may be applied to predict the performance of mass flow sensor. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：5019 / 5024
页数：6
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