TY - BOOK
T1 - Off-Line analysis and prototyping of paper machine drive monitoring system
T2 - MODUS-Project Case Study ODT2
AU - Rinta-Runsala, Esa
PY - 2000
Y1 - 2000
N2 - The report concentrates on a specific case study of a
single paper machine.
Data from the paper machine consists of motor speed and
torque measurements
taken along the machine as well as supply power and mains
voltage
measurements. The data is analyzed off-line and some
interesting abnormal
phenomena in the signals are described.
A review of state identification methods is presented,
including cluster analysis,
decision trees, their fuzzy versions, multi-layer
perceptron and radial basis
function neural networks. Additionally, self-organizing
map (SOM), and
adaptive resonance theory (ART) neural networks are
presented in more detail
and they are prototyped on monitoring of the paper
machine. The performance
of the prototypes in detecting abnormal phenomena in the
data as
well as demands and properties of both methods are
compared. Finally, a
suggestion for implementation is made for using SOM in
on-line monitoring.
Along the suggestion there are some notions about the
limitations of using
SOM in monitoring.
AB - The report concentrates on a specific case study of a
single paper machine.
Data from the paper machine consists of motor speed and
torque measurements
taken along the machine as well as supply power and mains
voltage
measurements. The data is analyzed off-line and some
interesting abnormal
phenomena in the signals are described.
A review of state identification methods is presented,
including cluster analysis,
decision trees, their fuzzy versions, multi-layer
perceptron and radial basis
function neural networks. Additionally, self-organizing
map (SOM), and
adaptive resonance theory (ART) neural networks are
presented in more detail
and they are prototyped on monitoring of the paper
machine. The performance
of the prototypes in detecting abnormal phenomena in the
data as
well as demands and properties of both methods are
compared. Finally, a
suggestion for implementation is made for using SOM in
on-line monitoring.
Along the suggestion there are some notions about the
limitations of using
SOM in monitoring.
KW - SOM
KW - self-organizing maps
M3 - Report
T3 - VTT Information Technology. Research Report
BT - Off-Line analysis and prototyping of paper machine drive monitoring system
PB - VTT Technical Research Centre of Finland
CY - Espoo
ER -