PMID- 26393611
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20151215
LR  - 20181113
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 15
IP  - 9
DP  - 2015 Sep 18
TI  - Inline Measurement of Particle Concentrations in Multicomponent Suspensions using 
      Ultrasonic Sensor and Least Squares Support Vector Machines.
PG  - 24109-24
LID - 10.3390/s150924109 [doi]
AB  - This paper proposes an ultrasonic measurement system based on least squares 
      support vector machines (LS-SVM) for inline measurement of particle 
      concentrations in multicomponent suspensions. Firstly, the ultrasonic signals are 
      analyzed and processed, and the optimal feature subset that contributes to the 
      best model performance is selected based on the importance of features. Secondly, 
      the LS-SVM model is tuned, trained and tested with different feature subsets to 
      obtain the optimal model. In addition, a comparison is made between the partial 
      least square (PLS) model and the LS-SVM model. Finally, the optimal LS-SVM model 
      with the optimal feature subset is applied to inline measurement of particle 
      concentrations in the mixing process. The results show that the proposed method 
      is reliable and accurate for inline measuring the particle concentrations in 
      multicomponent suspensions and the measurement accuracy is sufficiently high for 
      industrial application. Furthermore, the proposed method is applicable to the 
      modeling of the nonlinear system dynamically and provides a feasible way to 
      monitor industrial processes.
FAU - Zhan, Xiaobin
AU  - Zhan X
AD  - State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong 
      University of Science and Technology, Wuhan 430074, China. hustzhan@163.com.
FAU - Jiang, Shulan
AU  - Jiang S
AD  - Tribology Research Institute, National Traction Power Laboratory, Southwest 
      Jiaotong University, Chengdu 610031, China. voyagejsl@sina.com.
FAU - Yang, Yili
AU  - Yang Y
AD  - State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong 
      University of Science and Technology, Wuhan 430074, China. yangyili5727@163.com.
FAU - Liang, Jian
AU  - Liang J
AD  - State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong 
      University of Science and Technology, Wuhan 430074, China. liangjian5282@126.com.
FAU - Shi, Tielin
AU  - Shi T
AD  - State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong 
      University of Science and Technology, Wuhan 430074, China. tlshi@hust.edu.cn.
FAU - Li, Xiwen
AU  - Li X
AD  - State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong 
      University of Science and Technology, Wuhan 430074, China. xiwenli@hust.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20150918
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
PMC - PMC4610515
OTO - NOTNLM
OT  - LS-SVM
OT  - inline measurement
OT  - multicomponent suspensions
OT  - particle concentration
OT  - ultrasonic sensor
EDAT- 2015/09/24 06:00
MHDA- 2015/09/24 06:01
PMCR- 2015/09/18
CRDT- 2015/09/23 06:00
PHST- 2015/07/31 00:00 [received]
PHST- 2015/09/11 00:00 [revised]
PHST- 2015/09/11 00:00 [accepted]
PHST- 2015/09/23 06:00 [entrez]
PHST- 2015/09/24 06:00 [pubmed]
PHST- 2015/09/24 06:01 [medline]
PHST- 2015/09/18 00:00 [pmc-release]
AID - s150924109 [pii]
AID - sensors-15-24109 [pii]
AID - 10.3390/s150924109 [doi]
PST - epublish
SO  - Sensors (Basel). 2015 Sep 18;15(9):24109-24. doi: 10.3390/s150924109.