Ceia THS - Autolearn Menu

THS – FI022GB2K8v3 --- V - MAINTENANCE
64
Remote Possible settings Standard setting Parameter
Erase
EP
12 alphanumeric
characters
-
Related to the current
product
Description Models
Elimination of a product
Elimination of an existing product: select the desired product in the list displayed using the arrow keys, and confirm
with the
key.
All models
Autolearn menu
Remote Possible settings Standard setting Parameter
Autolearn
LE
ON / OFF OF-F
Global
Description Models
Autolearn
Select ON and exit from programming to activate the autolearn procedure. The parameter returns to OFF
automatically at the end of procedure. See paragraph “Programming the metal detector according to the kind of
product” in the Instructions manual.
All models
Remote Possible settings Standard setting Parameter
Optimise SS
OS
ON / OFF ON
Global
Description Models
Inclusion of stainless steel in the metals for which the signal/product ratio is optimised
ON: frequency optimisation for stainless steel; OFF: frequency optimisation for iron
Signal/product ratio: metal signal / product signal. This parameter operates only during autolearn, if MB=ON.
THS/3F
Remote Possible settings Standard setting Parameter
Multi-band
MB
ON / OFF OFF
Global
Description Models
Multi-band
ON: autolearn with automatic selection of the operating band; OFF: autolearn without modification of the current
operating band (BA). See paragraph “Programming the metal detector according to the kind of product”.
THS/3F
Remote Possible settings Standard setting Parameter
Transits
TN
1 – 10 2
Global
Description Models
Number of product transits for autolearn
In the case of non-uniform products, increase TN so as to obtain a more accurate mean.
If TN=1 the autolearn will change only the TP value.
If TN>1 the autolearn will change both TP and SE.
The number of product transits requested for autolearn is 3xTN. Selecting MB=ON. On THS/3F with MB=ON, if TN=1
the value is automatically changed to 2.
All models,
except THS/MN
Remote Possible settings Standard setting Parameter
Sensitivity adj.
SA
10 – 30 15
Global
Description Models
Margin of sensitivity
Margin of sensitivity below the limit used to set SE during the autolearn procedure: by lowering the sensitivity, false
alarms are avoided in the case of significant variations in the characteristics of the product.
If the value of SA is increased, the sensitivity determined by the autolearn procedure decreases.
The standard value of 15 corresponds to a ratio of 2 between the effective signal (alarm signal) and the interference
due to the product.
All models