Performance analysis of soft sensors

被引:0
|
作者
Wang, GY [1 ]
Chen, YC [1 ]
Tan, YH [1 ]
Gu, TX [1 ]
机构
[1] Univ Elect Sci & Technol China, Dept Automat, Chengdu 610054, Peoples R China
关键词
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
The soft sensor is a kind of mechanism used for reconstructing missing, or difficult to obtain, measurements from available data. It is an important building block in a wide range of technological systems including control, communications, biomedical, radar and environmental. In this paper, we review the design trade-offs for soft sensors and address the performances of soft sensor in detail. We show that there are fundamental and unavoidable limitations related with their performance.
引用
收藏
页码:406 / 409
页数:4
相关论文
共 50 条
  • [1] Performance investigation of MISO soft sensors in predicting AQI: a comparative analysis
    Aurangzeb, Md
    Banerjee, Sudip
    Das, Dipa
    Ghosh, Prabir
    INDIAN CHEMICAL ENGINEER, 2024, 66 (03) : 197 - 220
  • [2] Micromechanical Analysis of Soft Tactile Sensors
    Totaro, Massimo
    Pugno, Nicola Maria
    Mazzolai, Barbara
    Beccai, Lucia
    FRONTIERS IN MATERIALS, 2017, 4
  • [3] Predicting the performance of soft sensors as a route to low cost automation
    Goodwin, Graham C.
    Annual Reviews in Control, 2000, 24 : 55 - 66
  • [4] Predicting the performance of soft sensors as a route to low cost automation
    Goodwin, GC
    LOW COST AUTOMATION 1998 (LCA'98), 1999, : 9 - 20
  • [5] Soft sensors
    Control Instrum, 1 (45):
  • [6] Analysis of the effect of irrelevant information for the design of soft sensors
    Gao, Xinrui
    Shardt, Yuri A. W.
    AT-AUTOMATISIERUNGSTECHNIK, 2025,
  • [7] Performance of soft sensors based on stochastic configuration networks with nonnegative garrote
    Pengxin Tian
    Kai Sun
    Dianhui Wang
    Neural Computing and Applications, 2022, 34 : 16061 - 16071
  • [8] Performance of soft sensors based on stochastic configuration networks with nonnegative garrote
    Tian, Pengxin
    Sun, Kai
    Wang, Dianhui
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (18): : 16061 - 16071
  • [9] Enhanced performance of microfluidic soft pressure sensors with embedded solid microspheres
    Shin, Hee-Sup
    Ryu, Jaiyoung
    Majidi, Carmel
    Park, Yong-Lae
    JOURNAL OF MICROMECHANICS AND MICROENGINEERING, 2016, 26 (02)
  • [10] Analysis of soft-field characteristics of resistance tomography sensors
    Wei, Ying
    Yan, Hua
    Wang, Shi
    Jiqiren/Robot, 2000, 22 (06): : 465 - 469