Skip to main navigation
Skip to search
Skip to main content
VTT's Research Information Portal Home
Search content at VTT's Research Information Portal
Home
Profiles
Research output
Projects
Datasets
Research units
Research Infrastructures
Activities
Prizes
Press/Media
Impacts
Virtual rolling quality system for cold rolling
Jari Larkiola
, Jari Nylander
, Martti Verho
, Mika Judin
VTT Technical Research Centre of Finland
Rautaruukki Oyj
VTT (former employee or external)
Research output
:
Contribution to journal
›
Article
›
Scientific
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Virtual rolling quality system for cold rolling'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Quality System
100%
Cold Rolling
100%
Virtual Rolling
100%
Strip Quality
100%
Virtual Sensor
66%
Quality-related
66%
Process Data
33%
Automatically Identify
33%
Statistical Methods
33%
History Data
33%
Sensor Technology
33%
Artificial Neural Network
33%
Virtual Model
33%
Downstream Processing
33%
Feature-based
33%
Thickness Profile
33%
Rolling Theory
33%
Processing Line
33%
Hot Strip
33%
Chebyshev
33%
Strip Thickness
33%
Upstream Processing
33%
Cold Rolling Process
33%
Engineering
Quality System
100%
Cold Rolling
100%
Soft Sensor
100%
Flatness
100%
Downstream Processing
50%
Main Effect
50%
Independent Component
50%
Process Information
50%
Strip Thickness
50%
Artificial Neural Network
50%
Rolling Process
50%
INIS
rolling
100%
data
33%
thickness
33%
sensors
33%
values
16%
information
16%
processing
16%
neural networks
16%
statistical models
16%