Application of Type-2 Fuzzy Estimation on Uncertainty in Machining: An Approach on Acoustic Emission during Turning Process

被引：0
|
作者：
Ren, Qun [1 ]
Baron, Luc [1 ]
Balazinski, Marek [1 ]
机构：
[1] Ecole Polytech, Dept Mech Engn, Montreal, PQ H3C 3A7, Canada
来源：
2009 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY | 2009年
关键词：
SETS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Modern day manufactured products in high-technology industries demand ever higher precision and accuracy. The need for continuous improvements in product quality, reliability, and manufacturing efficiency has imposed strict demands on automated product measurement and evaluation on uncertainties in machining process. Type-2 fuzzy logic estimation provides the possibility to indicate the uncertainties in manufacturing process to automated process monitoring which is crucial in maintaining high quality production. This paper uses type-2 fuzzy approach to filter the raw acoustic emission (AE) signal directly from the AE sensor during a turning process and the estimation of uncertainty of AE could be of great value to a decision maker and be used to investigate tool wear condition during machining process.
引用
收藏
页码：208 / 213
页数：6
相关论文
共 50 条
  • [31] A simulink model for testing uncertainty in type-2 fuzzy controllers
    Sepúlveda, R
    Castillo, O
    Melin, P
    Rodríguez, A
    Montiel, O
    ICAI '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2, 2005, : 419 - 425
  • [32] Handling Uncertainty in Controllers Using Type-2 Fuzzy Logic
    Sepulveda, Roberto
    Castillo, Oscar
    Melin, Patricia
    Montiel, Oscar
    Rodriguez-Diaz, A.
    JOURNAL OF INTELLIGENT SYSTEMS, 2005, 14 (2-3) : 237 - 262
  • [33] Energy Efficient Task Scheduling with Type-2 Fuzzy Uncertainty
    Shukla, Amit K.
    Nath, Rahul
    Muhuri, Pranab K.
    2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015), 2015,
  • [34] Type-2 fuzzy elliptic membership functions for modeling uncertainty
    Kayacan, Erdal
    Sarabakha, Andriy
    Coupland, Simon
    John, Robert
    Khanesar, Mojtaba Ahmadieh
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2018, 70 : 170 - 183
  • [35] Handling uncertainty in controllers using type-2 fuzzy logic
    Sepúlveda, R
    Castillo, O
    Melin, P
    Rodríguez-Díaz, A
    Montiel, O
    FUZZ-IEEE 2005: Proceedings of the IEEE International Conference on Fuzzy Systems: BIGGEST LITTLE CONFERENCE IN THE WORLD, 2005, : 248 - 253
  • [36] Type-2 fuzzy sets for handling uncertainty in pattern recognition
    Zeng, Jia
    Liu, Zhi-Qiang
    2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2006, : 1247 - +
  • [37] Design of an interval Type-2 fuzzy model with justifiable uncertainty
    Moreno, Juan E.
    Sanchez, Mauricio A.
    Mendoza, Olivia
    Rodriguez-Diaz, Antonio
    Castillo, Oscar
    Melin, Patricia
    Castro, Juan R.
    INFORMATION SCIENCES, 2020, 513 : 206 - 221
  • [38] Critique of "Footprint of uncertainty for type-2 fuzzy sets" [9]
    Mendel, Jerry M.
    Rajati, Mohammad R.
    INFORMATION SCIENCES, 2015, 308 : 1 - 2
  • [39] Uncertainty of Interval Type-2 Fuzzy Sets Based on Fuzzy Belief Entropy
    Liu, Sicong
    Cai, Rui
    ENTROPY, 2021, 23 (10)
  • [40] Bearing condition prediction considering uncertainty: An interval type-2 fuzzy neural network approach
    Chen, Chaochao
    Vachtsevanos, George
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2012, 28 (04) : 509 - 516
12345